Python Developer Jobs in UAE

<strong>Responsibilities<br></strong>The Measurement team is responsible for demonstrating and improving the effectiveness of advertising on TikTok. We partner with advertisers, agencies, and cross-functional teams to interpret campaign performance, shape measurement strategies, and unlock stronger business outcomes through data-driven insights.<br><br>Our team sits at the intersection of sales, product, analytics, and marketing. We help clients understand how TikTok drives results across branding and performance objectives, while also influencing the evolution of measurement products, solutions, and partnerships.<br><br>About the Role<br><br>As a Measurement Partner - Centre of Excellence, you serve as a key regional specialist dedicated to solving complex performance-advertising challenges across your desginated region. Operating as an individual contributor, you will partner closely with regional measurement, product, and sales teams to analyze sophisticated data sets, optimize ad campaigns, and directly improve ROI. This role offers a unique opportunity to lead deep analytical initiatives, prototype measurement tooling, and design experimental methodologies that will directly shape and influence TikTok's broader regional measurement strategy.<br><br>Responsibilities<br>- Collaborate with sales and measurement teams across the region to develop, implement and lead regional measurement strategies that drive business growth<br>- Support the ideation, creation, and prototyped deployment of sophisticated custom insights, ad effectiveness meta-analysis, or tooling for large-scale data environments for use by wider measurement teams<br>- Act as a regional specialist on full funnel measurement, contributing to cross-functional projects<br>- Design and test bidding, targeting, and optimisation methods to support new product and feature development<br>- Track and report advertiser success metrics to support and grow adoption of measurement solutions across the region<br>- Develop and maintain dashboards, reports, and tools to track Source of Truth (SoT), key performance indicators (KPIs), and measure campaign effectiveness<br>- Analyze and interpret data from various sources, including ad performance, user behavior, and market trends<br>- Provide actionable insights and recommendations to sales and measurement teams to optimize ad campaigns and improve ROI<br>- Stay up-to-date with industry trends, best practices, and new measurement methodologies to continuously improve our regional measurement capabilities<br><br><strong>Qualifications<br></strong>Minimum Qualifications: <br>- Strong, proven experience in analytics and digital advertising from large marketing-related organisations or measurement suppliers.<br>- Bachelor's degree in a quantitative field (e.g., statistics, mathematics, economics, or computer science) or equivalent.<br>- Proven experience in Data Science, Data Analysis, Measurement, or a related field.<br>- Demonstrated ability to drive projects independently and influence cross-functional stakeholders in a matrixed environment.<br>- Strong analytical and problem-solving skills, with the ability to interpret complex data sets and communicate insights effectively.<br>- Excellent communication and collaboration skills, with the ability to work closely with regional teams.<br>- Exceptional time management and goal-oriented task management skills.<br><br>Preferred Qualifications:<br>- Experience working within the regional digital advertising ecosystem, including media agencies and complex, data-driven marketing organisations.<br>- Experience with executing custom analytical work where SQL, HIVE, R, or Python is preferred.<br>- Proficiency in data analysis and visualization tools (e.g., SQL, Excel, Tableau, Power BI).<br>- Familiarity with privacy-first innovation for marketing measurement systems.<br><br><strong>About TikTok<br></strong>TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​<br><br><br><strong>Why Join Us<br></strong>Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​<br>We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​<br>​<br>Diversity &amp; Inclusion​<br>TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

Bloomberg Intelligence Middle East FX Strategist<br><br>Location<br><br>Dubai<br><br>Business Area<br><br>Research<br><br>Ref #<br><br>10054037<br><br><strong>Description &amp; Requirements<br><br></strong>Bloomberg Intelligence (BI) delivers independent, data-driven research and interactive datasets integrated into the Bloomberg Terminal, helping investment professionals make decisions faster. With 500+ research professionals, BI provides company, credit, industry and strategy reearch across major global markets, covering 135+ industries and 2,000+ companies, including perspectives on company fundamentals as well as government policy, litigation, corporate governance and sustainable finance. BI combines analyst expertise with interactive data, proprietary models and emerging technologies, including AI, to deliver faster, deeper and more differentiated research. Our research and datasets are delivered through curated Terminal dashboards and interactive research decks, with underlying data typically one click away, drawing on proprietary Bloomberg sources and 600+ data contributors.<br><br><strong>What’s In It For You<br><br></strong>You will be the lead Bloomberg Intelligence FX strategist covering the Middle East, with primary responsibility for MENA and GCC currencies and an important role in expanding BI’s broader emerging-market and global foreign-exchange research.<br><br>Your coverage will include the major GCC currencies — including the Saudi riyal, UAE dirham and Qatari riyal — with a focus on currency regimes, cross-regional investment flows, local market dynamics and the macroeconomic forces shaping FX markets. You will also monitor currencies and regimes across the broader region, including the Kuwaiti dinar, Moroccan dirham, Bahraini dinar and Omani rial.<br><br>Beyond your regional mandate, you will contribute to BI’s global quantitative FX research, including the development of cross-market spot FX models and FX-options analytics spanning G10 and emerging markets. The role combines deep regional expertise with quantitative analysis, data and modeling to produce differentiated, investment-relevant perspectives for Bloomberg’s global client base.<br><br><strong>We’ll Trust You To<br><br></strong><ul><li>Lead BI’s research coverage of MENA and GCC foreign-exchange markets, providing timely analysis of the macroeconomic, policy, market and capital-flow developments affecting currencies in the region.</li><li>Develop differentiated perspectives on GCC currency regimes, including pegs and basket-based frameworks, and monitor the factors that could affect their sustainability and market implications.</li><li>Analyze cross-regional investment flows, hedge-fund positioning, local demand and other market dynamics influencing Middle Eastern currencies.</li><li>Develop and maintain quantitative models, datasets and analytical tools to identify key FX drivers, relative-value opportunities and market trends.</li><li>Contribute to cross-market spot FX models and FX-options analytics supporting BI’s G10 and global emerging-market research.</li><li>Produce a combination of repeatable flagship research and timely analysis responding to major market, economic and policy developments.</li><li>Collaborate with BI strategists and analysts globally to connect regional FX developments with broader emerging-market and global macro themes.</li><li>Develop and maintain relationships with investors, traders and other market participants to deepen BI’s understanding of market dynamics and expand the reach of our FX research.</li><li>Use Bloomberg data, analytics and emerging technologies, including AI and automation, to improve research efficiency and develop new approaches to quantitative and data-driven FX analysis.<br><br></li></ul><strong>You Need To Have<br><br></strong><ul><li>A minimum of 5 years of professional experience analyzing, researching and/or trading foreign exchange.</li><li>Strong knowledge of Emerging Markets currencies and the macroeconomic, policy and market factors that drive foreign-exchange markets.</li><li>Demonstrated ability to conduct quantitative analysis and translate complex market data into differentiated, investment-relevant conclusions.</li><li>Strong understanding of global and emerging-market macroeconomics and foreign-exchange markets.</li><li>Experience working with financial and economic datasets and developing analytical models.</li><li>Exceptional research, writing and critical-thinking skills.</li><li>Excellent verbal communication and presentation skills.</li><li>Self-starter and independent thinker with an entrepreneurial mindset.</li><li>Ability to develop strong, collaborative relationships with colleagues and market participants across regions and disciplines.</li><li>Strong organizational skills and the ability to manage multiple research priorities and respond quickly to changing market conditions.</li><li> Bachelor’s degree or equivalent experience.<br><br></li></ul><strong>We’d Love To See<br><br></strong><ul><li>Direct experience analyzing or trading GCC, MENA or broader EM currencies.</li><li>Experience with quantitative FX strategies, spot FX modeling and/or FX-options analytics.</li><li>Strong knowledge of the Bloomberg Terminal, Bloomberg data and the Bloomberg family of indices.</li><li>Strong Excel and/or Python programming skills.</li><li>Master’s degree or PhD in Economics, Finance or a related quantitative discipline.<br><br></li></ul><strong>If This Sounds Like You<br><br></strong>Apply if you think we’re a good match and we’ll get in touch with you to let you know next steps. In the meantime, check out Bloomberg Intelligence to learn more about our research and data offering.<br><br>http://www.bloomberg.com/professional/bloomberg-intelligence/.<br><br>If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.<br><br>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b>Overview<p>We are seeking an experienced Principal Aviation Analyst to join our Aviation team. The successful candidate will provide technical leadership in aviation forecasting, demand modelling, capacity analysis, air traffic assessments, and strategic airport planning projects across regional and international markets. This role requires a highly analytical professional with strong aviation industry knowledge, advanced modelling capabilities, and the ability to work as part of multidisciplinary project teams, while delivering high-quality advisory solutions to airport operators, government entities, investors, and aviation stakeholders.</p><br><p>As Principal Aviation Analyst, you will be responsible for leading terminal and airfield planning, running simulations using CAST (airfield and terminal), and forecasting air traffic demands. You will leverage your experience of airport operations, capacity planning, simulation, forecasting, and analysis bring true value to our Clients as they embark on developments to deliver world class airports and experiences across some of the fastest growing airports in the world.</p><br><p>Bringing your unique and analytical skillset, you interface across multiple disciplines, working closely within Transportation and Building Design, alongside taking opportunities to upskill and mentor teams, and share best practices, across regions, and playing a supporting role across wider analytical tasks within the Aviation market.</p><br><p>This role requires not only deep expertise in capacity planning, simulation, and forecasting, but also domain knowledge of airport operations and regulations.</p><br>Your role<ul><li>Lead the development and delivery of aviation demand forecasting and modelling assignments.</li><li>Conduct passenger, aircraft movement, cargo, and airport capacity forecasts using industry-recognized methodologies.</li><li>Develop and maintain airport simulation, forecasting, and network planning models.</li><li>Undertake airport capacity, terminal planning, airfield planning, and operational performance assessments.</li><li>Deliver aviation-related economic, market, and traffic analyses to support strategic planning and investment decisions.</li><li>Review and validate aviation datasets, forecasting assumptions, and modelling outputs.</li><li>Prepare technical reports, presentations, and client deliverables.</li><li>Manage multiple aviation advisory and modelling projects simultaneously.</li><li>Ensure projects are delivered on time, within budget, and to the highest quality standards.</li><li>Coordinate multidisciplinary teams including planners, economists, engineers, and data analysts.</li><li>Identify project risks and develop mitigation strategies.</li><li>Serve as a trusted advisor to airport operators, aviation authorities, government agencies, and private sector clients.</li><li>Lead technical discussions and stakeholder workshops.</li><li>Support proposal preparation, technical methodologies, and business development activities.</li><li>Identify new opportunities within existing client accounts and emerging aviation markets.</li><li>Provide guidance and mentoring to analysts and junior consultants.</li><li>Support capability development in aviation forecasting, modelling, and analytics.</li><li>Promote technical excellence and innovation across the aviation advisory team.</li></ul>About you<p><b>Requirements</b></p><br><ul><li>12+ years of related professional Aviation experience, including substantial experience of delivering capacity planning and modelling projects.</li><li>Strong demonstrated hands on experience in the aviation sector is essential, up to date with the latest practices and approaches in IATA ADRM, and use of CAST simulation software.</li><li>Proven success delivering complex consulting or engineering programs with multiple stakeholders and high visibility.</li><li>Strong understanding of airport operations, airline networks, aviation economics, and industry trends.</li><li>Excellent leadership, stakeholder management, and communication skills.</li><li>Bachelor's Degree in Aviation Management, Transport Planning, Economics, Engineering, Mathematics, Statistics, Data Science, or a related discipline. Masters is preferred.</li><li>Proficiency in statistical analysis, scenario modelling, and forecasting methodologies.</li><li>Advanced knowledge of data analytics tools and software such as Excel (Advanced), Power BI, Python, R, SQL, and Aviation forecasting and simulation tools.</li></ul><p><b>Good to Haves</b></p><br><ul><li>Experience working with clients in the GCC region.</li><li>Arabic language would be a plus.</li></ul>Rewards &amp; benefits<p>Explore the rewards and benefits that help you thrive – at every stage of your life and your career.</p><br><p>This includes:</p><br><ul><li>Tax-free salary.</li><li>Life insurance coverage.</li><li>Medical insurance.</li><li>Annual leave balance.</li><li>Company gratuity scheme.</li><li>Discretionary bonus program.</li><li>Annual flight contribution.</li><li>Transportation &amp; housing allowances.</li><li>Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul><p>Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</p><br>About AtkinsRéalis<p>We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.</p><br><p><span>Find out more.</span></p><br><b>Worker Type</b>Employee<b>Job Type</b>Regular<p><span><i>At </i></span> <i><span>AtkinsRéalis</span></i><span><i>, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences. &nbsp;</i></span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b>Overview<p>We are seeking an experienced Principal Aviation Analyst to join our Aviation team. The successful candidate will provide technical leadership in aviation forecasting, demand modelling, capacity analysis, air traffic assessments, and strategic airport planning projects across regional and international markets. This role requires a highly analytical professional with strong aviation industry knowledge, advanced modelling capabilities, and the ability to work as part of multidisciplinary project teams, while delivering high-quality advisory solutions to airport operators, government entities, investors, and aviation stakeholders.</p><br><p>As Principal Aviation Analyst, you will be responsible for leading terminal and airfield planning, running simulations using CAST (airfield and terminal), and forecasting air traffic demands. You will leverage your experience of airport operations, capacity planning, simulation, forecasting, and analysis bring true value to our Clients as they embark on developments to deliver world class airports and experiences across some of the fastest growing airports in the world.</p><br><p>Bringing your unique and analytical skillset, you interface across multiple disciplines, working closely within Transportation and Building Design, alongside taking opportunities to upskill and mentor teams, and share best practices, across regions, and playing a supporting role across wider analytical tasks within the Aviation market.</p><br><p>This role requires not only deep expertise in capacity planning, simulation, and forecasting, but also domain knowledge of airport operations and regulations.</p><br>Your role<ul><li>Lead the development and delivery of aviation demand forecasting and modelling assignments.</li><li>Conduct passenger, aircraft movement, cargo, and airport capacity forecasts using industry-recognized methodologies.</li><li>Develop and maintain airport simulation, forecasting, and network planning models.</li><li>Undertake airport capacity, terminal planning, airfield planning, and operational performance assessments.</li><li>Deliver aviation-related economic, market, and traffic analyses to support strategic planning and investment decisions.</li><li>Review and validate aviation datasets, forecasting assumptions, and modelling outputs.</li><li>Prepare technical reports, presentations, and client deliverables.</li><li>Manage multiple aviation advisory and modelling projects simultaneously.</li><li>Ensure projects are delivered on time, within budget, and to the highest quality standards.</li><li>Coordinate multidisciplinary teams including planners, economists, engineers, and data analysts.</li><li>Identify project risks and develop mitigation strategies.</li><li>Serve as a trusted advisor to airport operators, aviation authorities, government agencies, and private sector clients.</li><li>Lead technical discussions and stakeholder workshops.</li><li>Support proposal preparation, technical methodologies, and business development activities.</li><li>Identify new opportunities within existing client accounts and emerging aviation markets.</li><li>Provide guidance and mentoring to analysts and junior consultants.</li><li>Support capability development in aviation forecasting, modelling, and analytics.</li><li>Promote technical excellence and innovation across the aviation advisory team.</li></ul>About you<p><b>Requirements</b></p><br><ul><li>12+ years of related professional Aviation experience, including substantial experience of delivering capacity planning and modelling projects.</li><li>Strong demonstrated hands on experience in the aviation sector is essential, up to date with the latest practices and approaches in IATA ADRM, and use of CAST simulation software.</li><li>Proven success delivering complex consulting or engineering programs with multiple stakeholders and high visibility.</li><li>Strong understanding of airport operations, airline networks, aviation economics, and industry trends.</li><li>Excellent leadership, stakeholder management, and communication skills.</li><li>Bachelor's Degree in Aviation Management, Transport Planning, Economics, Engineering, Mathematics, Statistics, Data Science, or a related discipline. Masters is preferred.</li><li>Proficiency in statistical analysis, scenario modelling, and forecasting methodologies.</li><li>Advanced knowledge of data analytics tools and software such as Excel (Advanced), Power BI, Python, R, SQL, and Aviation forecasting and simulation tools.</li></ul><p><b>Good to Haves</b></p><br><ul><li>Experience working with clients in the GCC region.</li><li>Arabic language would be a plus.</li></ul>Rewards &amp; benefits<p>Explore the rewards and benefits that help you thrive – at every stage of your life and your career.</p><br><p>This includes:</p><br><ul><li>Tax-free salary.</li><li>Life insurance coverage.</li><li>Medical insurance.</li><li>Annual leave balance.</li><li>Company gratuity scheme.</li><li>Discretionary bonus program.</li><li>Annual flight contribution.</li><li>Transportation &amp; housing allowances.</li><li>Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul><p>Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</p><br>About AtkinsRéalis<p>We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.</p><br><p><span>Find out more.</span></p><br><b>Worker Type</b>Employee<b>Job Type</b>Regular<p><span><i>At </i></span> <i><span>AtkinsRéalis</span></i><span><i>, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences. &nbsp;</i></span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Location:</b></p><br><br>Abu Dhabi, Abu Dhabi, United Arab Emirates<br><p><b>Job ID:</b></p><br><br>R0143899<br><p><b>Date Posted:</b></p><br><br>2026-09-15<br><p><b>Company Name:</b></p><br><br>HITACHI ENERGY SYSTEMS LLC<br><p><b>Profession (Job Category):</b></p><br><br>Engineering &amp; Science<br><p><b>Job Schedule:&nbsp;</b></p><br><br>Full time<br><p><b>Remote:</b></p><br><br>No<br><p><b>Job Description:</b></p><br><br><span>The opportunity</span><br><p><span>At Hitachi Energy, we are shaping a more sustainable, flexible, and secure energy future. As part of our Power Consulting team, you will work with leading utilities, transmission and distribution operators, power generators, retailers, and industrial customers to solve complex energy challenges. This is an exciting opportunity to contribute to high-impact projects focused on grid modernization, renewable integration, electrification, hydrogen, energy storage, and sustainability while collaborating with industry experts in a global environment.</span></p><br><br><br><span>How you will make an impact</span><ul><li><p><span>Lead and deliver consulting projects focused on power system studies and strategic advisory services for customers across the electricity sector.</span></p><br><br></li><li><p><span>Support customers in improving operational efficiency and addressing technical, regulatory, economic, and sustainability challenges.</span></p><br><br></li><li><p><span>Assess the impact of renewable energy integration, energy storage, hydrogen, e-mobility, and other emerging technologies on electrical networks.</span></p><br><br></li><li><p><span>Develop technical analyses and recommendations using industry standards, methodologies, and advanced simulation tools.</span></p><br><br></li><li><p><span>Build and maintain strong customer relationships while supporting business development, proposal preparation, and sales activities.</span></p><br><br></li><li><p><span>Manage project execution, including planning, scheduling, financial performance, risk management, and customer satisfaction.</span></p><br><br></li><li><p><span>Drive innovation through the development of new methodologies, tools, and processes, while sharing knowledge and mentoring colleagues.</span></p><br><br></li><li><p><span>Live Hitachi Energy's values of safety and integrity while delivering high-quality solutions that create lasting value for customers.</span></p><br><br></li></ul><br><span>Your background</span><ul><li><p><span>Master's degree in Electrical Engineering, Power Systems Engineering, or a related field; advanced degrees are an advantage.</span></p><br><br></li><li><p><span>More than 8 years of experience in power system studies, consulting, or related technical roles within the electricity sector.</span></p><br><br></li><li><p><span>Strong knowledge of electrical power systems, electricity markets, grid infrastructure, and utility operations.</span></p><br><br></li><li><p><span>Proven experience with power system modeling, simulation, and analysis using tools such as PSS®E, DIgSILENT PowerFactory, ETAP, PSCAD, EMTP, or RTDS.</span></p><br><br></li><li><p><span>Experience in areas such as transmission, renewable energy, offshore wind, hydrogen, industrial electrification, sustainability, BESS, FACTS, HVDC, e-mobility, or grid code compliance.</span></p><br><br></li><li><p><span>Ability to translate complex technical analyses into practical recommendations and customer-focused solutions.</span></p><br><br></li><li><p><span>Experience with programming and model development using Python, Fortran, DSL, NPL, or similar languages is highly valued.</span></p><br><br></li><li><p><span>Knowledge of digital technologies, including AI, data analytics, databases, and automation solutions, is considered an advantage.</span></p><br><br></li></ul><br><p><span><b>More about us</b></span></p><br><br><p><span>At Hitachi Energy, we foster a culture of innovation, collaboration, and continuous learning. We are committed to creating an inclusive workplace where everyone can thrive and contribute to advancing a sustainable energy future.</span></p><br><br><br><br><p><b>Accessibility and reasonable accommodation</b></p><br><br><p><b>Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a </b><span><b><u>general inquiry form</u></b></span><b> on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.</b></p><br><br><br><p><b>This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.</b></p><br><br><br><p><b>Use of Al and automated tools in recruitment</b></p><br><br><p><b>As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as </b><span><b><u>Hitachi's Global Data Privacy Notice.</u></b></span><b><br><span>Background Screening and Security Checks</span></b></p><br><br><p><b><span>As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.</span></b></p><br><br><p><b><span>For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.</span></b></p><br><br><p><b><span>The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.</span></b></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Design for Excellence Lab at New York University Abu Dhabi (NYUAD) is seeking to recruit a Junior Research Scientist under the supervision of Dr. Ozgur Sinanoglu. The successful candidate will closely work with faculty supervisor on hardware security projects. The ideal candidate will have an excellent knowledge of cybersecurity. Applicants must have a BSc or MSc in Computer Engineering or related field. </p><br><br> <p><strong>Responsibilities of the Position: </strong></p><br><br> <ul> <li>Conduct world-class research in hardware security.</li> <li>Analyze a research problem, design, implement, and test the solution. </li> <li>Write a research article. Present the result in a conference, workshop etc.</li> <li>Publish work in top-tier conferences and journals.</li> <li>Work closely with collaborators (such as government entities and companies) to deliver groundbreaking results.</li> </ul>Qualifications<p><strong>Essential Qualifications:</strong></p><br><br> <ul> <li>BSc or MSc in Computer Engineering or Electrical engineering with expertise in hardware security.</li> <li>Excellent analytic, design, and coding skills.</li> <li>Familiar with a programming language, such as MATLAB, Python, C etc and/or hardware description language such VHDL or Verilog.</li> <li>Excellent communication (both writing and oral) and interpersonal skills.</li> <li>Can work independently or in a team.</li> <li>Willingness to take initiative.</li> </ul> <p>A Junior Research Scientist is typically a graduate with a Master’s degree and less than five years of research experience in the relevant field, or a Bachelor's degree with any level of experience. </p><br><br>Application Instructions<p><strong><span>Applicants are to provide:</span></strong></p><br><br> <ol> <li>Cover Letter</li> <li>CV</li> <li>Official degree certificate or, if not available yet, latest academic transcript.</li> <li>List of publications</li> <li>Two letters of reference with referee contact information</li> </ol> <p><span>Questions regarding specifics for this position may be directed to </span>hr1103@nyu.edu.</p><br><br> <p><strong>About NYU Abu Dhabi<br></strong>https://nyuad.nyu.edu/en/<br>NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. <br>NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.<br>Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.<br><strong>Working for NYUAD</strong><br>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. <br>Visit our website for more information on benefits for you and your dependents.<br>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.<br>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.<br><em><strong>Join NYU Abu Dhabi, an exceptional place for exceptional people.</strong></em><br>NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.<br><em>@WorkAtNYUAD</em></p><br><br><br> </div>

<b>Job Purpose </b><p>At Emirates, we believe in connecting the world, to and through, our global hub in Dubai and in constantly innovating to ensure our customers 'Fly Better'.</p> <p>Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we're always at the forefront, pushing boundaries. We're on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the world s largest international airline and become a vital part of our cutting-edge information and technology team as Senior Technical Software Engineer.</p> <p>The Senior Technical Software Engineer is a key technical member of an agile feature team who provides technical leadership while remaining hands-on in software development and problem resolution. The role is responsible for leading technical design, driving the delivery of scalable and secure software solutions, mentoring engineers, and collaborating with architects, stakeholders, vendors, and dependent teams to successfully deliver business outcomes that support the Emirates Group.</p> <p> <strong>In this role you will:</strong> </p> <div> <ul> <li> <div> <ul> <li>Lead the discovery and technical assessment of Computer Vision and AI initiatives, working with key technical and business stakeholders to assess feasibility and define solutions for contactless, non-intrusive passenger experiences.</li> <li>Own Computer Vision and AI solutions end-to-end, translating requirements into scalable, secure architectures and leading model selection, development, testing and deployment across airport environments, while ensuring accuracy, performance, scalability and reliability.</li> <li>Design and optimise GPU-accelerated Computer Vision pipelines for multi-camera vision, video analytics and AI inference, ensuring efficient processing of high-volume video streams and effective use of GPU resources.</li> <li>Drive the adoption of Computer Vision, AI and NVIDIA technologies, identifying opportunities to enhance passenger experience, operational efficiency, security and automation through innovative solutions.</li> <li>Lead technical troubleshooting and resolution of complex Computer Vision and AI issues, covering model accuracy, camera configuration, video processing, GPU performance, system integration and production reliability</li> <li>Collaborate with cross-functional teams and external technology partners to integrate Computer Vision solutions into the wider airport technology ecosystem and meet operational and security requirements.</li> <li>Provide technical leadership and mentoring to engineering teams, establishing standards, playbooks and best practices across model development, benchmarking, deployment, monitoring and continuous improvement.</li> <li>Drive modern engineering practices and development automation, including lean software development, built-in quality, test-driven development, Agile practices, root cause analysis and blameless incident post-mortems. Conduct technical design reviews to ensure appropriate architecture patterns and engineering practices are adopted by the team.</li> <li>Contribute to work design and planning by providing subject matter expertise on the business domain and relevant technologies, while actively contributing to technology-specific communities of practice.</li> <li>Ensure effective use of enterprise platforms, tools and libraries in line with approved technology architecture, and support corrective, adaptive, preventative and perfective maintenance of products.</li> </ul> </div> </li> </ul> </div> Qualification <p> <strong>To be considered for the role you must meet the below requirements:</strong> </p> <ul> <li>Degree or Honours (12+3 or equivalent) in Computer Science, Computational Mathematics, Computer Engineering, Software Engineering, or a related field</li> </ul> <div> <ul> <li>5+ years of experience in Computer Vision, Machine Learning or AI Engineering, delivering large-scale, secure AI/CV solutions including GPU-accelerated inference and video analytics in enterprise Agile environments.</li> <li>Hands-on experience developing multi-camera CV solutions covering detection, recognition, tracking, Re-ID and 3D/multi-view vision, with experience across the full model lifecycle.</li> <li>Hands-on experience building enterprise-grade AI solutions using DevOps, edge/cloud deployment, AI-assisted development tools, and responsible AI practices.</li> <li>Proven technical leadership and mentoring experience, with strong stakeholder collaboration to influence technology decisions.</li> <li>Strong problem-solving, risk management and production support capabilities, including incident management and root cause analysis.</li> </ul> </div> <p> <strong>Knowledge/Skills</strong> </p> <p>Must have deep technical expertise covering the following areas, including but not limited to:</p> <ul> <li> <strong>Software Engineering:</strong> Microservices; Python, C++, NodeJS, Java; algorithms, data structures, concurrency, performance engineering; Integration tools like Solace.</li> <li> <strong>Computer Vision &amp; Video Processing:</strong> Object detection, recognition, tracking, Re-ID, scene understanding, multi-camera/multi-view 3D vision, camera calibration and spatial mapping; real-time video processing via RTSP/IP cameras, GStreamer, and hardware-accelerated pipelines.</li> <li> <strong>AI/ML Model Development:</strong> PyTorch, OpenCV, ONNX Runtime; dataset curation, annotation, model training, fine-tuning and continuous improvement; Vision Foundation Models, VLMs, Generative AI and Edge AI.</li> <li> <strong>NVIDIA &amp; GPU Computing:</strong> MV3DT, DeepStream SDK, TAO Toolkit, TensorRT, CUDA; GPU inference, FP16/INT8; Omniverse/Isaac Sim and USD for simulation</li> <li> <strong>Data, Cloud &amp; Deployment:</strong> Relational/NoSQL databases; CI/CD and observability; cloud-native (AWS/Azure/Google); Docker/Kafka; edge-to-cloud deployment.</li> <li> <strong>Security Awareness:</strong> Secure data handling across collection, training and deployment in sensitive environments</li> </ul> <p><br></p>

<br><p><strong>Role Purpose :</strong></p><br><p>The Data Engineer prepares the Group’s enterprise data and knowledge sources so that AI, Generative AI, and Agentic AI solutions operate on information that is accurate, current, governed, and fit for purpose. Spanning structured data in core business systems and unstructured content across documents, policies, and correspondence, the role builds and maintains the pipelines and knowledge repositories that underpin retrieval-augmented AI. It is the control point that ensures agents draw only on trusted, approved sources — making this role the single greatest determinant of whether the Group’s AI outputs can be relied upon in business decisions </p><p>▶ <strong>Data Preparation for AI Use Cases</strong></p><p> – Prepare enterprise data and knowledge sources for AI use cases, working from prioritised business requirements defined with the AI / Agentic AI Lead. – Support data extraction, cleansing, classification, tagging, and indexing across structured, semi-structured, and unstructured sources. – Build and maintain ingestion pipelines from ERP, CRM, HRMS, procurement systems, the data lake, and document repositories. – Design chunking, metadata, and enrichment strategies that materially improve retrieval relevance and answer quality. – Handle multi-format content — PDF, Office documents, scanned material, and email — including OCR and text extraction where required.</p><p> <strong>▶ Knowledge Repositories & RAG Enablement</strong></p><p> – Build and maintain knowledge repositories for RAG-based AI solutions, including embedding generation, vector store management, and index refresh cycles. – Implement versioning and change detection so that repositories remain synchronised with authoritative source systems. – Define and apply access controls at the data layer so that retrieval respects existing entitlement and confidentiality boundaries. – Measure and tune retrieval performance, working with AI engineers to diagnose grounding failures and improve recall and precision.</p><p> ▶ <strong>Data Quality & Master Data Readiness</strong></p><p> – Work with functional and technical teams to improve data quality and master data readiness across customer, vendor, product, employee, and asset domains. – Profile source data to quantify completeness, consistency, duplication, and timeliness, and report readiness objectively to initiative sponsors. – Implement automated data quality rules, validation checks, and exception reporting within pipelines. – Support remediation of root-cause data issues with business data owners rather than correcting symptoms downstream.</p><p> ▶<strong> Governance, Trust & Security</strong></p><p> – Ensure AI agents use trusted, approved, and governed data sources, and that unapproved or unclassified content is excluded from AI consumption. – Apply data classification, retention, and privacy requirements in line with Group policy and UAE data protection regulation. – Maintain lineage and cataloguing so that any AI output can be traced back to its underlying source with confidence. – Collaborate with Cybersecurity and Compliance on access reviews, data residency, encryption, and audit evidence.</p><p> ▶ <strong> Platform Operations & Collaboration</strong></p><br><p> – Operate and optimize cloud data platforms and pipelines for reliability, performance, and cost efficiency. – Monitor pipeline health, resolve failures, and maintain documentation, runbooks, and operational handover materials. – Partner with AI engineers, application teams, and business analysts throughout the delivery cycle, from discovery to production support. – Contribute to Group data standards, reusable pipeline patterns, and shared engineering practice. </p><p><strong>Desired Candidate Profile</strong></p><p>▶ <strong>Education</strong> – Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Statistics, or a related discipline. – Postgraduate qualification in Data Science, Analytics, or Computer Science is an advantage. ▶ <strong>Professional Certifications</strong> – Cloud data certification such as AWS Certified Data Engineer or Data Analytics, Microsoft Azure Data Engineer Associate, Google Cloud Professional Data Engineer, Databricks Data Engineer, or SnowPro. – Certification or formal training in data governance, data management (for example DAMA CDMP), or data privacy is advantageous. – Training in AI/GenAI data preparation, vector databases, or RAG architecture is an asset. ▶ <strong>Experience</strong> – 5–8 years of experience in data engineering, data platforms, analytics, ETL/ELT, data warehousing, or cloud data solutions. – Hands-on experience in preparing structured and unstructured data for analytics, AI, GenAI, and Agentic AI use cases. – Experience with tools such as AWS S3, Glue, Redshift, Athena, Azure Data Factory, Synapse, Fabric, Databricks, Snowflake, BigQuery, or similar. – Demonstrated experience improving data quality and master data readiness in partnership with business functions. – Experience building and maintaining knowledge repositories or search/retrieval indexes is strongly preferred. – Exposure to multi-entity or group environments with heterogeneous source systems is an advantage. ▶ <strong>Key Skills & Attributes</strong> – Strong SQL and Python capability with a disciplined, production-grade engineering approach. – Rigorous attention to data accuracy, lineage, and reproducibility. – Ability to assess and communicate data readiness honestly, including when a use case should not yet proceed. – Effective collaboration with business data owners to resolve issues at source. – Sound understanding of data privacy, classification, and security obligations. – Pragmatic balance between speed of delivery and long-term maintainability of data assets. </p>

<br><p><strong>Role Purpose :</strong></p><br><p>The Data Engineer prepares the Group’s enterprise data and knowledge sources so that AI, Generative AI, and Agentic AI solutions operate on information that is accurate, current, governed, and fit for purpose. Spanning structured data in core business systems and unstructured content across documents, policies, and correspondence, the role builds and maintains the pipelines and knowledge repositories that underpin retrieval-augmented AI. It is the control point that ensures agents draw only on trusted, approved sources — making this role the single greatest determinant of whether the Group’s AI outputs can be relied upon in business decisions </p><p>▶ <strong>Data Preparation for AI Use Cases</strong></p><p> – Prepare enterprise data and knowledge sources for AI use cases, working from prioritised business requirements defined with the AI / Agentic AI Lead. – Support data extraction, cleansing, classification, tagging, and indexing across structured, semi-structured, and unstructured sources. – Build and maintain ingestion pipelines from ERP, CRM, HRMS, procurement systems, the data lake, and document repositories. – Design chunking, metadata, and enrichment strategies that materially improve retrieval relevance and answer quality. – Handle multi-format content — PDF, Office documents, scanned material, and email — including OCR and text extraction where required.</p><p> <strong>▶ Knowledge Repositories & RAG Enablement</strong></p><p> – Build and maintain knowledge repositories for RAG-based AI solutions, including embedding generation, vector store management, and index refresh cycles. – Implement versioning and change detection so that repositories remain synchronised with authoritative source systems. – Define and apply access controls at the data layer so that retrieval respects existing entitlement and confidentiality boundaries. – Measure and tune retrieval performance, working with AI engineers to diagnose grounding failures and improve recall and precision.</p><p> ▶ <strong>Data Quality & Master Data Readiness</strong></p><p> – Work with functional and technical teams to improve data quality and master data readiness across customer, vendor, product, employee, and asset domains. – Profile source data to quantify completeness, consistency, duplication, and timeliness, and report readiness objectively to initiative sponsors. – Implement automated data quality rules, validation checks, and exception reporting within pipelines. – Support remediation of root-cause data issues with business data owners rather than correcting symptoms downstream.</p><p> ▶<strong> Governance, Trust & Security</strong></p><p> – Ensure AI agents use trusted, approved, and governed data sources, and that unapproved or unclassified content is excluded from AI consumption. – Apply data classification, retention, and privacy requirements in line with Group policy and UAE data protection regulation. – Maintain lineage and cataloguing so that any AI output can be traced back to its underlying source with confidence. – Collaborate with Cybersecurity and Compliance on access reviews, data residency, encryption, and audit evidence.</p><p> ▶ <strong> Platform Operations & Collaboration</strong></p><br><p> – Operate and optimize cloud data platforms and pipelines for reliability, performance, and cost efficiency. – Monitor pipeline health, resolve failures, and maintain documentation, runbooks, and operational handover materials. – Partner with AI engineers, application teams, and business analysts throughout the delivery cycle, from discovery to production support. – Contribute to Group data standards, reusable pipeline patterns, and shared engineering practice. </p><p><strong>Desired Candidate Profile</strong></p><p>▶ <strong>Education</strong> – Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Statistics, or a related discipline. – Postgraduate qualification in Data Science, Analytics, or Computer Science is an advantage. ▶ <strong>Professional Certifications</strong> – Cloud data certification such as AWS Certified Data Engineer or Data Analytics, Microsoft Azure Data Engineer Associate, Google Cloud Professional Data Engineer, Databricks Data Engineer, or SnowPro. – Certification or formal training in data governance, data management (for example DAMA CDMP), or data privacy is advantageous. – Training in AI/GenAI data preparation, vector databases, or RAG architecture is an asset. ▶ <strong>Experience</strong> – 5–8 years of experience in data engineering, data platforms, analytics, ETL/ELT, data warehousing, or cloud data solutions. – Hands-on experience in preparing structured and unstructured data for analytics, AI, GenAI, and Agentic AI use cases. – Experience with tools such as AWS S3, Glue, Redshift, Athena, Azure Data Factory, Synapse, Fabric, Databricks, Snowflake, BigQuery, or similar. – Demonstrated experience improving data quality and master data readiness in partnership with business functions. – Experience building and maintaining knowledge repositories or search/retrieval indexes is strongly preferred. – Exposure to multi-entity or group environments with heterogeneous source systems is an advantage. ▶ <strong>Key Skills & Attributes</strong> – Strong SQL and Python capability with a disciplined, production-grade engineering approach. – Rigorous attention to data accuracy, lineage, and reproducibility. – Ability to assess and communicate data readiness honestly, including when a use case should not yet proceed. – Effective collaboration with business data owners to resolve issues at source. – Sound understanding of data privacy, classification, and security obligations. – Pragmatic balance between speed of delivery and long-term maintainability of data assets. </p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose<p>At Emirates Group, we connect the world through our global hub in Dubai, ensuring our customers always ‘Fly Better.’ As one of the most recognised and admired brands globally, we’re driven by innovation and excellence. Join us as an<strong> Finance Data Analytics Manager</strong> and play a key role in driving financial strategy and decision-making for a global business. Experience a fast-paced, multicultural environment where your financial expertise will be central to shaping the future of aviation while making a meaningful impact on a global stage.</p><br><br><p>Our finance department at Emirates Group is responsible for acquiring and managing financial resources to generate profit. The team is pivotal in providing relevant financial information contributing to the productivity of our business functions, planning, and decision-making activities.</p><br><br><p>As a Finance Data Analytics Manager, you will be responsible for overseeing the collection, management, and analysis of data across Group Services. This role will lead efforts to turn data into actionable insights that drive strategic decision-making and operational efficiency. The role will collaborate with cross-functional teams to establish data governance frameworks and ensure data integrity and compliance.</p><br><br><p>In this role, you will:</p><br><br><ul><li>Enforce data governance frameworks and policies to ensure data quality, consistency, and compliance with regulatory requirements. Oversee data stewardship practices, including data classification, metadata management and data lineage tracking.</li></ul><ul><li>Collaborate with Enterprise Data &amp; Analytics and IT to ensure robust data security measures and adherence to data protection laws.</li><li>Lead the establishment and maintenance of a strong data domain foundation that supports efficient data integration, accessibility, and accuracy across Group Services functions.</li><li>Collaborate with stakeholders to define and document data domains, standards, and taxonomies. Ensure that data architecture aligns with the organisations strategic goals and support scalable analytics and reporting solutions.</li><li>Oversee the development and implementation of advanced analytics models and methodologies to extract insight from data.</li><li>Provide strategic direction on the use of data analytics to identify trends, predict outcomes, and drive business performance improvements and collaborate with business leaders to translate complex data findings into clear, actionable insights that support decision making.</li><li>Define, develop, and manage KPIs that align with the strategic objectives of Group Services and the broader organisation. Lead the creation of dashboards, reports, and visualizations that provide real-time insights into performance and operational efficiency. Ensure that reporting solutions are user-friendly, accessible, and tailored to the needs of different stakeholders.</li><li>Manage and mentor a team of data professionals, fostering a culture of collaboration, innovation, and excellence.</li><li>Stay up-to-date with industry trends, tools, and best practices in data governance, analytics, and reporting, while driving continuous improvement initiatives to optimize data processes and reporting frameworks.</li><li>Manage the enablement of self-service analytics. Collaborate with Enterprise Data &amp; Analytics COE to enable business stakeholders to gain insights from their data and engage them in data discovery, analysis, visualisation, and exploration.</li></ul>Qualification<p><strong>To be considered for the role, you must meet the below requirements:</strong></p><br><br><ul><li>8+ years of experience in finance system and procedures.</li><li>Degree in a relevant field, such as Business Administration, Data Science, Information Systems, Business Analytics or a related field etc.</li><li>Relevant experience including (but not limited to) data management, governance, analytics, or a related area, with a focus on service-oriented functions.</li></ul><br><p><strong>You’ll have an edge if you have:</strong></p><br><br><ul><li>Ability to multi-task and work across various departments with strict deadlines and to navigate competing interests across stakeholders</li><li>Strong analytical skills with proven ability to produce and analyse reports of high quality</li><li>Ability to translate data and insights into actionable information to recommend improvement policies</li><li>Proven track record of managing teams and delivering data-driven insights that impact business outcomes.</li><li>Possess a strong understanding of industry best practices concerning analytics, systems and governance within a large organisation or business unit</li><li>Expertise in analytical tools and knowledge of technologies such as Power BI, Microstrategy, SAP BO, SQL and Python</li><li>Strong problem-solving abilities and attention to detail, with a commitment to data accuracy and integrity.</li></ul><br><p>At Emirates Group, we’re committed to providing our employees with opportunities to grow and develop in their careers. So if you’re looking for a challenging and rewarding opportunity, apply today and join our team!</p><br><br>Salary &amp; benefits<p>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find more information about our employee benefits in the Working Here section of our website www.emirates.com/careers. Further information on what it’s like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.</p><br><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>Work with Us. Change the World.</strong></p><br><p>At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.</p><br><p>There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.</p><br><p>We're one global team driven by our common purpose to deliver a better world. Join us.</p><br><br>Job Description<br><p>We are seeking a talented and innovative Concept Architect to join our dynamic design team in Dubai, United Arab Emirates. This is an exciting opportunity for a creative professional with a strong foundation in architectural design to contribute to compelling, multidisciplinary projects. You will work collaboratively with experienced design leadership and cross-functional teams to develop high-quality architectural solutions that balance aesthetic vision with technical precision. This role offers the chance to grow your expertise while working on diverse projects ranging from conceptual design through construction administration.</p><br><p><strong>Key responsibilities include:</strong></p><br><ul><li><p>Concept design, optioneering, and design strategy development</p><br></li><li><p>Computational, generative, and parametric design studies</p><br></li><li><p>Algorithmic and procedural workflow development</p><br></li><li><p>Design&nbsp;automation and optimization workflows</p><br></li><li><p>Environmental&nbsp;and performance-driven analysis using tools such as Ladybug and Galapagos</p><br></li><li><p>Architectural massing, spatial development, and multidisciplinary coordination</p><br></li><li><p>AI-enabled design exploration and computational workflow integration</p><br></li><li><p>Presentation production, visualization direction, and design storytelling</p><br></li><li><p>Mentoring and supporting junior and graduate architects within the computational design workflow</p><br></li></ul><p><strong>Preferred skills and software proficiency:</strong></p><br><ul><li><p>Rhino</p><br></li><li><p>Grasshopper</p><br></li><li><p>Revit</p><br></li><li><p>Adobe Creative Suite</p><br></li><li><p>Python scripting and AI-integrated workflows</p><br></li><li><p>Strong understanding of computational design methodologies, procedural workflows, and logical problem-solving approaches</p><br></li><li><p>Rendering and visualization story telling&nbsp;</p><br></li></ul><p><strong>Please note: Applicants should upload a portfolio, along with their application.</strong></p><br><br>Qualifications<br><ul><li>Bachelor's Degree in Architecture, Architectural Design, or related field (Master's Degree preferred)</li><li>Minimum 5+ years of professional experience in architectural design or demonstrated equivalent experience</li></ul><br>Additional Information<br><p><em>At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. <strong>To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.</strong></em></p><br><p><strong>About AECOM</strong>&nbsp;</p><br><p>AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&amp;D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options,&nbsp;well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.&nbsp;</p><br><p>AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.&nbsp;</p><br><p><strong>What makes AECOM a great place to work</strong>&nbsp;</p><br><p>You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.&nbsp;</p><br><p>As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.&nbsp;</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description hr@ithr360.<br>com | www.ithr360.com Senior SOC Analyst Managed Security Services · Security Operations Centre Location: UAE / Middle East (On-site / Shift-based) Employment Type: Full-Time Department: Managed Security Services – SOC Experience: 3–6 Years (SOC / Security Operations) Reports To: SOC Team Lead ABOUT ITHR ITHR Technologies Consulting LLC is a technology consulting and professional services organisation supporting enterprises across the UAE and Middle East with digital transformation, cybersecurity, ERP implementation, talent solutions, managed services, and custom application development.<br> Our cybersecurity practice provides a comprehensive portfolio of services including Managed SOC, Digital Forensics &amp; Incident Response (DFIR), Vulnerability Assessment &amp; Penetration Testing (VAPT), Network Security, Brand Protection, Security Advisory, and Managed Security Services.<br> Our Managed SOC provides 24/7 threat monitoring, detection, and response capabilities to customers across the region.<br> As we continue expanding our cybersecurity managed services portfolio, we are looking for an experienced Senior SOC Analyst to strengthen our Security Operations Centre and deliver high-quality threat detection, investigation, and incident response services.<br> ROLE OVERVIEW We are looking for a technically strong and experienced Senior SOC Analyst to join the ITHR Security Operations team.<br> This is a hands-on L3-level role where you will own complex alert investigations, lead incident response activities, conduct proactive threat hunting, and continuously improve detection capabilities across customer environments.<br> As a senior member of the SOC, you will act as the escalation point for junior analysts, contribute to playbook development, and maintain the quality and consistency of SOC deliverables, including customer reporting and post-incident documentation.<br> This role is ideal for professionals who thrive in a fast-paced, multi-customer MSSP environment and are passionate about solving real-world security incidents.<br> KEY RESPONSIBILITIES Perform in-depth triage, investigation, and analysis of security alerts across multiple customer SIEM environments.<br> Act as the L3 escalation point for complex or high-severity incidents escalated by L1/L2 analysts.<br> Lead incident response activities including containment, eradication, recovery, and post-incident review.<br> Conduct proactive threat hunting using MITRE ATT&amp;CK, threat intelligence, and customer-specific risk profiles.<br> Develop and tune SIEM detection rules, correlation logic, and alert thresholds.<br> Develop and maintain SOC runbooks and incident response playbooks.<br> Produce high-quality incident reports suitable for both technical and business audiences.<br> Integrate and operationalise threat intelligence including IOCs, TTPs, and threat actor profiles.<br> Investigate activity across EDR, network, identity, cloud, and application log sources.<br> Mentor and guide L1 and L2 analysts through technical coaching and case reviews.<br> Support customer onboarding including log source validation, baseline reviews, and detection use case configuration.<br> Participate in shift handovers ensuring complete transfer of active investigations and operational awareness.<br> REQUIRED QUALIFICATIONS (MUST-HAVE) 3–6 years of hands-on SOC or Security Operations experience.<br> Minimum 1–2 years operating at an L2/L3 level.<br> Strong experience performing alert triage, incident investigation, and response.<br> MSSP experience is highly desirable.<br> Hands-on experience with one or more SIEM platforms: Microsoft Sentinel Splunk IBM QRadar Elastic SIEM Experience with EDR solutions including: CrowdStrike Falcon SentinelOne Microsoft Defender for Endpoint Strong understanding of MITRE ATT&amp;CK.<br> Solid knowledge of TCP/IP, DNS, HTTP/S, firewalls, proxies, and network attack techniques.<br> Experience analysing Windows and Linux artefacts including event logs, process trees, registry, persistence mechanisms, and scheduled tasks.<br> Excellent documentation and customer reporting skills.<br> Must possess at least one of the mandatory certifications listed below.<br> CERTIFICATIONS Mandatory (At least one required): Blue Team Level 2 (BTL2) GIAC Certified Incident Handler (GCIH) GIAC Certified Forensic Analyst (GCFA) CompTIA CASP+ Advantageous: Blue Team Level 1 (BTL1) Microsoft SC-200 Security Operations Analyst EC-Council Certified SOC Analyst (CSA) CompTIA CySA+ GIAC Cyber Threat Intelligence (GCTI) PREFERRED QUALIFICATIONS (NICE-TO-HAVE) MSSP or multi-tenant SOC experience.<br> Experience with SOAR platforms such as Microsoft Sentinel SOAR, Palo Alto XSOAR, or Splunk SOAR.<br> Cloud security monitoring experience across Azure, AWS, or GCP.<br> Basic digital forensics experience.<br> Experience using Threat Intelligence Platforms such as MISP, OpenCTI, or Recorded Future.<br> Scripting skills using Python, PowerShell, or KQL.<br> Experience supporting customers across the UAE or Middle East.<br> Familiarity with regional compliance frameworks such as UAE IA, NESA, or SAMA.<br> SOFT SKILLS Strong analytical and investigative mindset.<br> Calm under pressure during major incidents.<br> Passion for continuous learning and threat research.<br> Excellent verbal and written communication skills.<br> Team player with mentoring capabilities.<br> High attention to detail and documentation quality.<br> WHAT WE OFFER Competitive salary aligned with experience and certifications.<br> Annual training and certification budget.<br> Exposure to genuine enterprise cyber incidents across multiple industries.<br> Opportunity to work with advanced SIEM, SOAR, EDR, and Threat Intelligence platforms.<br> Clear career progression into: SOC Team Lead Detection Engineer DFIR Analyst Cybersecurity Consultant</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>JOB PURPOSE The Senior Specialist – QA and Test Engineering will play a critical role in the Quality Assurance, Software Testing and Testing Automation practice in CBUAE and embed a robust quality assurance framework across all critical financial systems and applications, thereby ensuring the unwavering reliability, security, and integrity of national monetary policy, payment infrastructure, and regulatory oversight tools.<br> This role is paramount for mitigating systemic risks, safeguarding financial stability, and upholding public trust by implementing the efficient and effective validation of complex software, executing advanced test automation, and fostering a culture of stringent quality excellence aligned with the central bank's unique mandate to manage the nation's financial backbone and adhere to the highest standards of governance and resilience.<br> Key Responsibilities Core Responsibilities Design and Development is responsible for leading the design, development, testing and implementation of innovative solutions and services that meet business needs.<br> This role involves strategically defining and implementing the overarching quality assurance/testing vision and roadmap for all software systems, ensuring the highest standards of reliability, security, performance, and regulatory compliance for CBUAE applications, systems and infrastructure platforms.<br> Quality Assurance and Test Engineering for Financial Applications and Infrastructure: Implement the overarching QA and test engineering and automation strategy, policies, and frameworks to ensure the absolute reliability, security, and performance of all mission-critical national payment systems, monetary policy tools, and financial market infrastructure.<br> Mitigating Systemic Risk through Rigorous Testing: Establish and enforce a robust testing regime for all software systems, including comprehensive unit, systems integration, user acceptance, regression, performance, resilience, security, and disaster recovery testing, to safeguard financial stability and prevent systemic vulnerabilities from manifesting.<br> Implement Advanced Test Automation for Efficiency and Integrity: Perform the design, development, and continuous improvement of highly sophisticated test automation frameworks and practices, focusing on enhancing testing efficiency, coverage, and speed for complex, high-volume, and critical central bank applications.<br> Ensuring Regulatory Compliance and Data Integrity: Carry out testing activities and collaborate with developers to guarantee strict adherence to national and international financial regulations, internal policies, and audit requirements, ensuring impeccable data integrity, privacy, and traceability for sensitive financial information.<br> Self-Management Responsibilities Defines performance goals at the start of the year in discussion with the reporting manager and ensures that the goals are achieved during the course of the year Identifies the training and development requirements for self and agrees on them with the reporting manager to ensure that the required trainings are arranged and attended Strives to achieve the highest levels of proficiency on all the competencies and skills required to perform the role.<br> Keeps abreast of professional developments, new techniques and current issues through continued education and professional growth.<br> QUALIFICATIONS AND EXPERIENCE Threshold Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or related fields.<br> Deep expertise and mastery in designing, implementing, and managing enterprise-grade test automation frameworks (e.<br>g., Tricentis, UiPath, Selenium, Appium) for various application types (web, mobile, API, desktop).<br> Strong understanding and practical experience with performance testing tools (e.<br>g., JMeter, LoadRunner, Gatling) for high-volume, real-time transaction systems, and expertise in security testing methodologies and tools (e.<br>g., OWASP Top 10, penetration testing tools, vulnerability scanners) to protect against cyber threats to national financial data.<br> In-depth understanding of various SDLC models, particularly Agile and DevOps, with practical experience in integrating quality assurance processes and automation into Continuous Integration/Continuous Delivery (CI/CD) pipelines.<br> This includes familiarity with tools like Jenkins, GitLab CI, Azure DevOps.<br> Strong SQL expertise and experience with diverse database systems (relational, NoSQL) to ensure data integrity, consistency, and accuracy across critical financial data repositories, including complex data migration and reconciliation testing.<br> Knowledge of complex enterprise system architectures, including microservices, APIs, distributed systems, and cloud platforms (e.<br>g., Azure, AWS, GCP, Oracle), along with the ability to design testing strategies that account for their unique challenges and ensure end-to-end quality.<br> In-depth understanding of the technical intricacies of core banking systems, financial market infrastructure, national payment systems (e.<br>g., RTGS, ACH), SupTech and regulatory reporting systems to design relevant and effective test scenarios.<br> Proven track record in implementing and overseeing specialized testing such as chaos engineering, blockchain testing (if applicable to central bank initiatives), big data testing, and AI/ML model validation.<br> Years &amp; Nature of Experience Minimum of 3 years of experience in leading a Software QA and Testing team.<br> Value-add if candidate has built a QA and Test team from scratch.<br> Minimum of 5-7 years of experience in performing Software QA and Testing or any related roles.<br> Extensive hands-on experience in designing, implementing, and managing enterprise-grade test automation frameworks for front-end and back-end applications.<br> Understanding of test-driven development (TDD) and behavior-driven development (BDD) and how to implement them with software engineers.<br> Proficiency in programming languages like Java, Python, C#, or JavaScript for automation scripting and framework development.<br> Proficiency in Agile development and DevSecOps practices to ensure rapid iteration and responsiveness to changing requirements.<br> Relevant professional certifications in QA and software testing tools and platforms will be an advantage.<br> Competencies Behavioural Drives High Performance: Assigns challenging goals for self and team and ensures efficient delivery, keeping in mind the objectives, goals and vision for the department and organization.<br> Manages Stakeholders: Builds and maintains professional networks and personal relationships with relevant stakeholders who are, or might become, important in ensuring individual as well as organisational success.<br> Innovates and Steers Change: Prioritises creativity and innovation, striving to constantly come up with better or unique ways of doing things.<br> Remains focused and optimistic through challenging situations, adapting quickly and demonstrating agility to changing circumstances to deliver required objectives.<br> Builds Capability: Believes in the capability of oneself and others and invests in strengthening them.<br> Provides resources and support required for individuals to develop critical skill and knowledge to achieve their full potential.<br> Driving Business Value: Reviews situations, opportunities, plans and information in great detail measuring impact on business success.<br> Identifies potential setbacks and creates risk mitigation strategies to reduce risk of failure.<br> Technical Software Testing: Understanding of software testing principles and practices, including unit testing, integration testing and automated testing.<br> Programming Languages: Proficiency in two or more programming languages.<br> Development Frameworks and Libraries: Familiarity with development frameworks and libraries relevant to their programming languages.<br> Software Development Methodologies: Understanding of different software development methodologies like waterfall, scrum, agile.<br> Database Management: Relational Databases, Database Design and Optimization, Data modeling, indexing, query optimization.<br> Debugging and Troubleshooting: Strong debugging skills to identify issues in software applications and design test cases to simulate and resolve those issues.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>A little bit about talabat</strong><br> <br> talabat is the leading online food and groceries ordering platform in MENA, operating in 9 countries<br> across the region. Founded in 2004 by a small group of entrepreneurs in Kuwait, talabat’s success<br> expanded to the rest of the GCC region, Egypt &amp; Jordan, making it the largest and most popular food<br> ordering app. With over 2,000+ employees and millions of users, we deliver hundreds of thousands<br> of orders every day.We are part of the Delivery Hero network building the next generation of online delivery platforms across the globe. Our network is truly international with engineering teams in 13 countries and<br> operations in 40+ countries.</p><br><br>Job Description<br><p><strong>About the Role</strong><br> We are hiring a hands-on IT Engineering Manager to own the Enterprise Applications domain — the devices, collaboration tools, and identity/access that talabat employees rely on every day — and to lead the small engineering team behind it, coordinating across our markets.</p><br><p>This is a working manager role: roughly 70–80% technical execution and standard-setting, and 20–30% people and delivery leadership. You will operate with a high degree of autonomy, staying close to the work while building the automation, documentation, and standards that let the function scale consistently across markets. It is a build role — you set the technical bar by doing, then make that excellence repeatable so it outlives any one person.</p><br><p>Your domain sits alongside other IT engineering domains, and your success depends as much on clean collaboration across those boundaries as on the depth of your own work. You will define and defend clear ownership of your systems while partnering openly with adjacent teams who depend on them. You will cultivate strong vendor relationships and drive strategic partnerships that enhance application functionality and support — a single quote is a starting point, not a decision.</p><br><p>Scope boundary: This role owns corporate and employee-facing IT (the digital workplace), including identity and endpoint end-to-end, which adjacent IT teams consume. It does not own product, ordering, or operational (rider/vendor-facing) systems, which sit with separate engineering functions. Where core platforms are provided centrally by Delivery Hero, this role owns the local instances and acts as talabat's engineering interface to those central teams.</p><br><p><strong>What You'll Own</strong></p><br><p>Endpoint &amp; Device Management</p><br><p>Own endpoint fleet strategy across macOS and Windows — MDM (Jamf, Intune, Jump Cloud), security baselines, patching, encryption, inventory, and the full device lifecycle from procurement and provisioning through to offboarding and asset recovery. Maintain endpoint posture in partnership with Security.</p><br><p>SaaS Administration</p><br><p>Own day-to-day administration of the core SaaS stack — Google Workspace, Slack, Atlassian, and similar — including configuration, license management, integrations, cost optimization, and strategic licensing negotiations with vendors. Evaluate and onboard new business tools, retire redundant ones, and operate the local instances of centrally provided platforms. Drive Power User Community deployment and management across entities where applicable.</p><br><p>Identity &amp; Access</p><br><p>Administer SSO, MFA, and identity providers (Okta, Entra, Google or similar), operating local instances and interfacing with the central identity platform. Own the Joiner-Mover-Leaver lifecycle — provisioning, deprovisioning, role-based access, least-privilege, and periodic access reviews — automated wherever possible.</p><br><p>Automation &amp; AI (a core expectation, not a future investment)</p><br><p>Engineer away repetitive work: if a task is done the same way more than twice, automate it. Scripting (Python, Bash, PowerShell) and AI tooling are current expectations of this role. Use automation and AI to create team capacity without growing headcount, and lead the team's adoption of these tools.</p><br><p>Incident Response &amp; Reliability</p><br><p>Own incident response and the on-call rotation for your domain. Act as escalation point during peak and out-of-hours periods, run proactive incident communication, and drive root-cause resolution rather than recurring workarounds. Participate in cross-domain incident coordination where issues span into adjacent IT teams. Build reliability and security in by design — every system has a clear answer to "what happens when this fails?"</p><br><p>Service, Compliance &amp; Standards</p><br><p>Define and track IT service standards, SLAs, and operational metrics, and run ticketing/ITSM workflows that reduce friction for employees. Ensure a consistent support model across locations and time zones, adhering to agreed service levels. Champion change management practices to ensure seamless application delivery and effective transitions. Contribute to compliance and audit readiness (e.g. SOC 2 / ISO 27001 IT controls, access reviews, evidence) in partnership with Security and central teams. Standardize before scaling — build solutions that work across all markets on a shared foundation, allowing local flavor without fragmenting the stack.</p><br><p>Leadership, People &amp; Vendors</p><br><p>Lead, coach, and raise the technical bar of a small IT engineering team, with a mandate to grow both its capability and its headcount. Set the standard hands-on, develop your engineers, and manage performance fairly and decisively — investing genuinely in growth, and making the hard call when the bar cannot be met. Provide mentorship to team members, promote knowledge sharing and professional growth. Create and maintain runbooks, training materials, and self-service resources so knowledge is never trapped in one person's head. Manage vendors, procurement, and renewals — actively challenge cost and drive strategic partnerships rather than transactional relationships.</p><br><br>Qualifications<br><p><strong>What You'll Bring</strong></p><br><ul><li><p>5–7+ years in IT operations, IT engineering, or corporate IT, with hands-on depth across endpoint, SaaS, and identity — including organisations with 5,000+ users.</p><br></li><li><p>Hands-on expertise with MDM (Jamf / Intune / jumpcloud), identity providers (Okta / Entra), and SaaS administration (Google Workspace, Slack, Atlassian).</p><br></li><li><p>Demonstrated scripting and automation ability, and daily use of AI tooling in real work — with concrete examples of what you have built or adopted.</p><br></li><li><p>Proven expertise in business process analysis, requirements gathering, solution design, and vendor management — including cost-effective licensing negotiation.</p><br></li><li><p>A track record of leading or mentoring a small team and raising its operating standard. People-leadership appetite is required; formal management experience is welcome.</p><br></li><li><p>Strong project management skills, with a track record of delivering complex projects on time and within budget across multiple concurrent workstreams.</p><br></li><li><p>Proven ability to operate autonomously with limited managerial oversight — self-directed on priorities, delivery, and standard-setting.</p><br></li><li><p>A track record of defining and defending clear domain ownership while collaborating openly with adjacent teams.</p><br></li><li><p>A strong customer-focus mindset toward employees — you treat how IT feels to use as the measure of success, speak in plain language, and never say no to the person without offering an alternative.</p><br></li><li><p>Exceptional communication and interpersonal skills, with the ability to build strong relationships and influence without authority across teams and senior stakeholders.</p><br></li><li><p>A documentation-first working style and comfort operating where a central platform team owns core systems and you own the local layer and the interface.</p><br></li><li><p>Deep understanding of enterprise application security best practices.</p><br></li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>About the opportunity<br><p><strong>About the Role</strong><br> We are hiring a hands-on IT Engineering Manager to own the Enterprise Applications domain — the devices, collaboration tools, and identity/access that talabat employees rely on every day — and to lead the small engineering team behind it, coordinating across our markets.</p><br><br><p>This is a working manager role: roughly 70–80% technical execution and standard-setting, and 20–30% people and delivery leadership. You will operate with a high degree of autonomy, staying close to the work while building the automation, documentation, and standards that let the function scale consistently across markets. It is a build role — you set the technical bar by doing, then make that excellence repeatable so it outlives any one person.</p><br><br><p>Your domain sits alongside other IT engineering domains, and your success depends as much on clean collaboration across those boundaries as on the depth of your own work. You will define and defend clear ownership of your systems while partnering openly with adjacent teams who depend on them. You will cultivate strong vendor relationships and drive strategic partnerships that enhance application functionality and support — a single quote is a starting point, not a decision.</p><br><br><p>Scope boundary: This role owns corporate and employee-facing IT (the digital workplace), including identity and endpoint end-to-end, which adjacent IT teams consume. It does not own product, ordering, or operational (rider/vendor-facing) systems, which sit with separate engineering functions. Where core platforms are provided centrally by Delivery Hero, this role owns the local instances and acts as talabat's engineering interface to those central teams.</p><br><br><p><strong>What You'll Own</strong></p><br><br><p>Endpoint &amp; Device Management</p><br><br><p>Own endpoint fleet strategy across macOS and Windows — MDM (Jamf, Intune, Jump Cloud), security baselines, patching, encryption, inventory, and the full device lifecycle from procurement and provisioning through to offboarding and asset recovery. Maintain endpoint posture in partnership with Security.</p><br><br><p>SaaS Administration</p><br><br><p>Own day-to-day administration of the core SaaS stack — Google Workspace, Slack, Atlassian, and similar — including configuration, license management, integrations, cost optimization, and strategic licensing negotiations with vendors. Evaluate and onboard new business tools, retire redundant ones, and operate the local instances of centrally provided platforms. Drive Power User Community deployment and management across entities where applicable.</p><br><br><p>Identity &amp; Access</p><br><br><p>Administer SSO, MFA, and identity providers (Okta, Entra, Google or similar), operating local instances and interfacing with the central identity platform. Own the Joiner-Mover-Leaver lifecycle — provisioning, deprovisioning, role-based access, least-privilege, and periodic access reviews — automated wherever possible.</p><br><br><p>Automation &amp; AI (a core expectation, not a future investment)</p><br><br><p>Engineer away repetitive work: if a task is done the same way more than twice, automate it. Scripting (Python, Bash, PowerShell) and AI tooling are current expectations of this role. Use automation and AI to create team capacity without growing headcount, and lead the team's adoption of these tools.</p><br><br><p>Incident Response &amp; Reliability</p><br><br><p>Own incident response and the on-call rotation for your domain. Act as escalation point during peak and out-of-hours periods, run proactive incident communication, and drive root-cause resolution rather than recurring workarounds. Participate in cross-domain incident coordination where issues span into adjacent IT teams. Build reliability and security in by design — every system has a clear answer to "what happens when this fails?"</p><br><br><p>Service, Compliance &amp; Standards</p><br><br><p>Define and track IT service standards, SLAs, and operational metrics, and run ticketing/ITSM workflows that reduce friction for employees. Ensure a consistent support model across locations and time zones, adhering to agreed service levels. Champion change management practices to ensure seamless application delivery and effective transitions. Contribute to compliance and audit readiness (e.g. SOC 2 / ISO 27001 IT controls, access reviews, evidence) in partnership with Security and central teams. Standardize before scaling — build solutions that work across all markets on a shared foundation, allowing local flavor without fragmenting the stack.</p><br><br><p>Leadership, People &amp; Vendors</p><br><br><p>Lead, coach, and raise the technical bar of a small IT engineering team, with a mandate to grow both its capability and its headcount. Set the standard hands-on, develop your engineers, and manage performance fairly and decisively — investing genuinely in growth, and making the hard call when the bar cannot be met. Provide mentorship to team members, promote knowledge sharing and professional growth. Create and maintain runbooks, training materials, and self-service resources so knowledge is never trapped in one person's head. Manage vendors, procurement, and renewals — actively challenge cost and drive strategic partnerships rather than transactional relationships.</p><br><br><br>What you need to be successful<br><p><strong>What You'll Bring</strong></p><br><br><ul><li><p>5–7+ years in IT operations, IT engineering, or corporate IT, with hands-on depth across endpoint, SaaS, and identity — including organisations with 5,000+ users.</p><br><br></li><li><p>Hands-on expertise with MDM (Jamf / Intune / jumpcloud), identity providers (Okta / Entra), and SaaS administration (Google Workspace, Slack, Atlassian).</p><br><br></li><li><p>Demonstrated scripting and automation ability, and daily use of AI tooling in real work — with concrete examples of what you have built or adopted.</p><br><br></li><li><p>Proven expertise in business process analysis, requirements gathering, solution design, and vendor management — including cost-effective licensing negotiation.</p><br><br></li><li><p>A track record of leading or mentoring a small team and raising its operating standard. People-leadership appetite is required; formal management experience is welcome.</p><br><br></li><li><p>Strong project management skills, with a track record of delivering complex projects on time and within budget across multiple concurrent workstreams.</p><br><br></li><li><p>Proven ability to operate autonomously with limited managerial oversight — self-directed on priorities, delivery, and standard-setting.</p><br><br></li><li><p>A track record of defining and defending clear domain ownership while collaborating openly with adjacent teams.</p><br><br></li><li><p>A strong customer-focus mindset toward employees — you treat how IT feels to use as the measure of success, speak in plain language, and never say no to the person without offering an alternative.</p><br><br></li><li><p>Exceptional communication and interpersonal skills, with the ability to build strong relationships and influence without authority across teams and senior stakeholders.</p><br><br></li><li><p>A documentation-first working style and comfort operating where a central platform team owns core systems and you own the local layer and the interface.</p><br><br></li><li><p>Deep understanding of enterprise application security best practices.</p><br><br></li></ul><br>Who we are<br><p><strong>A little bit about talabat</strong><br> <br> talabat is the leading online food and groceries ordering platform in MENA, operating in 9 countries<br> across the region. Founded in 2004 by a small group of entrepreneurs in Kuwait, talabat’s success<br> expanded to the rest of the GCC region, Egypt &amp; Jordan, making it the largest and most popular food<br> ordering app. With over 2,000+ employees and millions of users, we deliver hundreds of thousands<br> of orders every day.We are part of the Delivery Hero network building the next generation of online delivery platforms across the globe. Our network is truly international with engineering teams in 13 countries and<br> operations in 40+ countries.</p><br><br> <br><br> </div>

Location: North America Remote/SF-Hybrid<br><br> Full-Time<br><br>About Andromeda<br><br>Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers.<br><br>We began with a single managed cluster — but it filled almost instantly. Since then, we’ve been quietly building the systems, network, and orchestration layer that makes the world’s AI infrastructure more accessible.<br><br>Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth.<br><br>Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering.<br><br>The Role<br><br>This is not a generalist SRE role, and it is not a support role. You will embed directly with the teams running large-scale training and inference on our clusters. You are responsible for onboarding them, tuning their jobs, and debugging their failures alongside them, while owning the infrastructure and automation that makes those clusters reliable in the first place.<br><br>Forward deployed means you spend real time inside customer environments: reading their training code, sitting in their Slack channels, watching their runs, and shipping fixes that land in our platform. When a multi-hundred-GPU run stalls, you are the person who figures out whether it's the fabric, the driver, the scheduler, or their dataloader, then you make sure it can't happen the same way twice.<br><br>We're looking for engineers who have personally run GPU clusters in production, understand the failure modes of distributed training, and can reason about performance from network fabric → kernel → framework. Equally important: you can explain what you found to someone else's engineering team without condescension, and turn that conversation into a product improvement.<br><br>What You’ll Do<br><br>Serve as the primary technical point of contact for teams running large-scale training and inference workloads. Own onboarding end to end; environment setup, orchestration choice (Slurm, Kubernetes, or direct SSH), storage layout, first successful run at scale. You will continue to stay engaged as their workloads grow. Work inside customer environments to diagnose real failures: NCCL timeouts, stragglers, checkpoint I/O stalls, degraded links, OOM patterns, container and driver mismatches. Read their code when you need to. Reproduce, isolate, fix, and write it down. Profile and improve distributed training performance on live workloads. Improving MFU, cutting idle GPU time, and reducing time-to-first-successful-run for new deployments. Own reliability outcomes for the accounts you're deployed on. Ensure the health and performance of high-speed interconnects (Infini Band, RoCE, NVLink) that underpin distributed training. Diagnose and resolve fabric-level issues that degrade collective operations. Build deep visibility into GPU utilization, memory pressure, interconnect throughput, job performance, and hardware health. Turn every repeated deployment problem into automation: cluster provisioning, GPU health checks and burn-in, preflight validation, self-healing, firmware/driver lifecycle management, and reusable reference configurations for common training and serving stacks. Lead incident response for complex, multi-layer failures spanning hardware, networking, orchestration, and ML frameworks. Own the customer-facing communication during the incident and the blameless postmortem and systemic fix after it. You will see our rough edges before anyone else does. Bring that signal back to influence the roadmap, file the hard bugs, and build the missing pieces yourself when that's the fastest path.<br><br>What We’re Looking For<br><br>Hands-on experience operating GPU clusters in production (NVIDIA A100/H100/H200/B200 or equivalent). You understand GPU memory hierarchies, ECC behavior, thermal throttling, and hardware failure modes from direct experience. Production experience with Infini Band, RoCE, or NVLink fabrics in the context of distributed training. You can diagnose why an all-reduce is slow, identify a degraded link in a fat-tree topology, and reason about congestion control at scale. Working knowledge of how large training and inference jobs actually run. You don't need to design models, but you need to understand what's happening at the systems level when a large run stalls. Expert-level Linux experience: kernel tuning, driver management (NVIDIA drivers, CUDA toolkit), cgroup/namespace internals, container runtimes, and performance profiling at the syscall and hardware level. Strong experience running Kubernetes in production with GPU workloads. Experience with device plugins, topology-aware scheduling, multi-cluster, custom operators. Experience with Slurm or other HPC schedulers is equally valued. Strong engineering skills in Python, Go, or Bash. You build production-grade tools and services, not just scripts. Infrastructure-as-Code proficiency (Terraform, Helm, Ansible, or equivalent). Hands-on experience building monitoring and alerting for GPU-specific telemetry (DCGM, nvidia-smi, fabric manager metrics) integrated into actionable dashboards. You can go deep on architecture with a customer's infra team and clearly articulate tradeoffs to their leadership. You're comfortable being the only one in the room who knows the answer, and equally comfortable saying you don't yet. Proven track record leading incident response for complex distributed systems.<br><br>Strong Candidates May Have<br><br>Experience with high-performance parallel file systems (VAST, WEKA, Lustre, GPFS) and the checkpoint I/O and data-loading bottlenecks that come with large training runs. Time spent embedded with external engineering teams, i.e solutions architecture, professional services, deployed SRE, or technical account ownership at an infrastructure company. Experience operating production inference. Hands on experience with autoscaling, batching, KV cache behavior, cold starts, and multi-tenant GPU sharing. Contributions to relevant OSS projects, or benchmarks, postmortems, and deep-dives you've published. Experience working across heterogeneous providers and regions rather than a single hyperscaler.<br><br>What Success Looks Like<br><br>By the end of your first year:<br><br>You know each of your accounts' actual technical goals including what they're training, what their scaling roadmap looks like over the next two quarters, what their real constraints are (budget, deadline, headcount, data), and you've written that down somewhere the rest of us can read it. You are the person your accounts' engineers message first, before they file a ticket, because you've earned it. Their reliability and throughput numbers are visibly better than at onboarding, and you can point to the specific changes that did it. Recurring problems you found in the field exist as automation, preflight checks, or documentation, not as tribal knowledge in your head. You've advocated internally for at least one roadmap change on behalf of a strategic customer, and it shipped.<br><br>Why You’ll Love It Here<br><br>High-growth environment: Get in early at a company at the center of the AI infrastructure boom Ownership: First FDE for the solutions engineering team, you’ll get to build this function from the ground up Competitive compensation: + meaningful equity Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO<br><br>Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.<br><br>Forward Deployed Engineer - SRE<br><br>Location: North America Remote/SF-Hybrid<br><br> Full-Time<br><br>What You’ll Do<br><br>Serve as the primary technical point of contact for teams running large-scale training and inference workloads. Own onboarding end to end; environment setup, orchestration choice (Slurm, Kubernetes, or direct SSH), storage layout, first successful run at scale. You will continue to stay engaged as their workloads grow. Work inside customer environments to diagnose real failures: NCCL timeouts, stragglers, checkpoint I/O stalls, degraded links, OOM patterns, container and driver mismatches. Read their code when you need to. Reproduce, isolate, fix, and write it down. Profile and improve distributed training performance on live workloads. Improving MFU, cutting idle GPU time, and reducing time-to-first-successful-run for new deployments. Own reliability outcomes for the accounts you're deployed on. Ensure the health and performance of high-speed interconnects (Infini Band, RoCE, NVLink) that underpin distributed training. Diagnose and resolve fabric-level issues that degrade collective operations. Build deep visibility into GPU utilization, memory pressure, interconnect throughput, job performance, and hardware health. Turn every repeated deployment problem into automation: cluster provisioning, GPU health checks and burn-in, preflight validation, self-healing, firmware/driver lifecycle management, and reusable reference configurations for common training and serving stacks. Lead incident response for complex, multi-layer failures spanning hardware, networking, orchestration, and ML frameworks. Own the customer-facing communication during the incident and the blameless postmortem and systemic fix after it. You will see our rough edges before anyone else does. Bring that signal back to influence the roadmap, file the hard bugs, and build the missing pieces yourself when that's the fastest path.<br><br>What We’re Looking For<br><br>Hands-on experience operating GPU clusters in production (NVIDIA A100/H100/H200/B200 or equivalent). You understand GPU memory hierarchies, ECC behavior, thermal throttling, and hardware failure modes from direct experience. Production experience with Infini Band, RoCE, or NVLink fabrics in the context of distributed training. You can diagnose why an all-reduce is slow, identify a degraded link in a fat-tree topology, and reason about congestion control at scale. Working knowledge of how large training and inference jobs actually run. You don't need to design models, but you need to understand what's happening at the systems level when a large run stalls. Expert-level Linux experience: kernel tuning, driver management (NVIDIA drivers, CUDA toolkit), cgroup/namespace internals, container runtimes, and performance profiling at the syscall and hardware level. Strong experience running Kubernetes in production with GPU workloads. Experience with device plugins, topology-aware scheduling, multi-cluster, custom operators. Experience with Slurm or other HPC schedulers is equally valued. Strong engineering skills in Python, Go, or Bash. You build production-grade tools and services, not just scripts. Infrastructure-as-Code proficiency (Terraform, Helm, Ansible, or equivalent). Hands-on experience building monitoring and alerting for GPU-specific telemetry (DCGM, nvidia-smi, fabric manager metrics) integrated into actionable dashboards. You can go deep on architecture with a customer's infra team and clearly articulate tradeoffs to their leadership. You're comfortable being the only one in the room who knows the answer, and equally comfortable saying you don't yet. Proven track record leading incident response for complex distributed systems.<br><br>Strong Candidates May Have<br><br>Experience with high-performance parallel file systems (VAST, WEKA, Lustre, GPFS) and the checkpoint I/O and data-loading bottlenecks that come with large training runs. Time spent embedded with external engineering teams, i.e solutions architecture, professional services, deployed SRE, or technical account ownership at an infrastructure company. Experience operating production inference. Hands on experience with autoscaling, batching, KV cache behavior, cold starts, and multi-tenant GPU sharing. Contributions to relevant OSS projects, or benchmarks, postmortems, and deep-dives you've published. Experience working across heterogeneous providers and regions rather than a single hyperscaler.<br><br>By The End Of Your First Year:<br><br>You know each of your accounts' actual technical goals including what they're training, what their scaling roadmap looks like over the next two quarters, what their real constraints are (budget, deadline, headcount, data), and you've written that down somewhere the rest of us can read it. You are the person your accounts' engineers message first, before they file a ticket, because you've earned it. Their reliability and throughput numbers are visibly better than at onboarding, and you can point to the specific changes that did it. Recurring problems you found in the field exist as automation, preflight checks, or documentation, not as tribal knowledge in your head. You've advocated internally for at least one roadmap change on behalf of a strategic customer, and it shipped.<br><br>Why You’ll Love It Here<br><br>High-growth environment: Get in early at a company at the center of the AI infrastructure boom Ownership: First FDE for the solutions engineering team, you’ll get to build this function from the ground up Competitive compensation: + meaningful equity Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO<br><br>Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><u><b>Job Description:</b></u></p><br><p><span>DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.&nbsp;</span></p><br><p>The <b>Pre-Sales Senior AI Solutions Engineer </b>plays a pivotal role in helping enterprise customers see, feel, and believe in the value of agentic AI and ML platforms. Sitting at the intersection of business strategy, AI application design, and polished execution, your primary mission is to rapidly build enterprise-grade MVP agentic AI applications. You will partner with prospective customers and sales teams to map loosely defined problems into compelling, production‑inspired prototypes. These MVPs serve as credible, extensible foundations that showcase technical depth and accelerate time-to-value, acting as the bridge between immediate problem-solving and long-term platform adoption.</p><br><p><b>Key Responsibilities</b><br>Business-to-Technical Translation &amp; Problem Understanding</p><br><ul><li><p>Partner with Sales Teams: Understand customer missions, strategic priorities, and constraints through short discovery sessions.</p><br></li><li><p>Map Capabilities: Translate business needs into platform capabilities, tailoring messaging for different personas (CIO, CTO, Chief Data Officer, program leads, technical practitioners).</p><br></li><li><p>Identify Value: Pinpoint high-leverage automation and decision points where agentic AI can create immediate, visible value, translating ambiguous problems into clear user journeys and agent responsibilities.</p><br></li></ul><p>Agentic AI Solution Design &amp; Prototyping</p><br><ul><li><p>Rapid MVP Build: Design and implement end-to-end agentic AI MVPs, including multi-agent orchestration, tool use, memory, Model Context Protocol (MCP) servers, and agent observability.</p><br></li><li><p>Deployment Readiness: Define key technical requirements, recommend deployment models meeting specific security mandates, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities.</p><br></li><li><p>Frontend &amp; UX: Build intuitive, enterprise‑grade UIs using React and modern design systems (e.g., shadcn/ui) to communicate agent behavior transparently.</p><br></li><li><p>Architectural Soundness: Select and integrate appropriate LLMs, frameworks, and agent architecture to balance speed, cost, and explainability while establishing scalable platform foundations.</p><br></li></ul><p>Demo Execution &amp; Sales Collaboration</p><br><ul><li><p>Outcome-Oriented Demos: Deliver engaging live demos that tell a clear story: problem → agentic solution → business impact. Help shape and refine use cases based on account maturity and strategic alignment.</p><br></li><li><p>Trusted Advisor: Act as a technical pillar across the sales team, supporting Account Executives, Strategic Account Directors, and BDRs with knowledge and assets that advance AI adoption.</p><br></li><li><p>Iterative Refinement: Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value (POVs).</p><br></li></ul><p>Cross-Functional Feedback &amp; Compliance Alignment</p><br><ul><li><p>Security &amp; Governance: Support conversations around AI governance, data security, model transparency, and responsible AI practices in alignment with regulations.</p><br></li><li><p>Internal Feedback Loop: Provide structured feedback on customer needs, procurement hurdles, and architectural gaps to Product, Marketing, and Enablement teams to keep offerings relevant.</p><br></li><li><p>Reusable Assets: Contribute reusable patterns, templates, and internal best practices to accelerate future MVP delivery and platform selling.</p><br></li></ul><p><b>Knowledge, Skills, and Abilities</b><br>Pre-Sales &amp; Platform Selling Experience</p><br><ul><li><p>Demonstrated success supporting sales pursuits (new logos and account expansion) with deep technical expertise and solution design.</p><br></li><li><p>Strong ability to translate agentic AI and ML platform capabilities into compelling value propositions.</p><br></li><li><p>Prior experience turning rapid MVPs into production applications or long‑term enterprise platforms.</p><br></li></ul><p>Core Technical Skills</p><br><ul><li><p>Hands-on experience building agentic AI applications using modern LLM frameworks, orchestration patterns, and backend engineering (Python, TypeScript, APIs).</p><br></li><li><p>Experience designing MCP servers, external system integrations, and utilizing AI evaluation/tracing tools.</p><br></li><li><p>Proficiency with React and modern frontend tooling to create clean, trustworthy user interfaces.</p><br></li></ul><p>Problem Solving &amp; Communication</p><br><ul><li><p>Excellent communication and demo skills; proven ability to present complex AI concepts in a clear, grounded, and value-driven manner to both mission leaders and technical stakeholders.</p><br></li><li><p>Exceptional ability to move from ambiguity to clarity quickly.</p><br></li><li><p>Bias toward action and iteration; comfortable working in a fast-paced environment with evolving product offerings and shipping imperfect but compelling MVPs fast.</p><br></li></ul><p><b>Education &amp; Experience</b></p><br><ul><li><p>6-8+ years of experience in sales engineering, applied AI, hands-on technical consulting, customer-facing software engineering, or technical product roles.</p><br></li><li><p>Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). An advanced degree in AI/ML is a plus.</p><br></li><li><p>Prior experience applying AI or complex software solutions within the Oil &amp; Gas industry is a strong plus.</p><br></li><li><p>Ability to travel up to 25% on average to customer meetings, workshops, industry conferences, and events.</p><br></li></ul><p><span>The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!</span></p><br><p><u><b>DataRobot Operating Principles:</b></u></p><br><ul><li>Wow Our Customers</li><li>Set High Standards</li><li>Be Better Than Yesterday</li><li>Be Rigorous</li><li>Assume Positive Intent</li><li>Have the Tough Conversations</li><li>Be Better Together</li><li>Debate, Decide, Commit</li><li>Deliver Results</li><li>Overcommunicate</li></ul><p><br><span>Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. <b>At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.</b> We’d love to have a conversation with you and see if you might be a great fit.&nbsp; </span></p><br><p><span>DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.</span></p><br><br><p><b>Use of Artificial Intelligence in Our Hiring Process</b></p><br><br><p>DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.<br></p><br><p><span>All applicant data submitted is handled in accordance with our </span>Applicant Privacy Policy<span>.</span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>With over 14,000 professionals globally, GHD is a leading multidisciplinary professional services company delivering engineering, design, and advisory solutions across water, energy, resources, environment, property &amp; buildings, and transportation sectors.</p><br><p><strong>Energy Overview</strong></p><br><p>Energy systems across the Middle East are evolving rapidly. Strong demand growth, major infrastructure investment, increasing renewable energy deployment and the growing need for storage, flexibility and digital solutions are creating new and complex requirements for how energy is planned, delivered and managed.</p><br><p>In response to this transforming landscape, GHD is bringing together regional insight and global technical expertise to help utilities, governments, developers and major energy users address these challenges. Our work spans electricity networks, renewable energy, utility-scale battery energy storage systems (BESS), energy strategy and advisory, technical due diligence, regulatory support, grid integration, demand-side flexibility, and the energy needs of critical sectors such as data centres and water infrastructure, supporting clients throughout the lifecycle of their energy assets and systems.</p><br><p>To strengthen GHD’s response and support the continued growth of our Middle East Energy team, we are looking for highly motivated professionals who bring sound technical judgement to help us deliver reliable, resilient, and lower-carbon solutions that create lasting benefits for our communities.</p><br><p><strong>Position Overview</strong></p><br><p>As a Senior Energy Consultant, you will lead and contribute to GHD’s energy sector work across the Middle East, applying your experience across electricity networks, renewable energy, energy storage, system integration, energy strategy and technical advisory.</p><br><p>You will independently deliver and coordinate technical work, integrate multidisciplinary inputs and translate complex engineering matters into clear findings and practical recommendations. Assignments may span feasibility and options studies, network and substation design and delivery, technical and techno-economic assessments, due diligence, Owner’s Engineer services, procurement support and construction-stage services.</p><br><p>The role combines technical delivery with project coordination, client engagement, proposal development and the mentoring of junior professionals.</p><br><p><strong>Key Responsibilities</strong></p><br><ul><li>Contribute to multidisciplinary energy projects across electricity networks,</li><li>&nbsp;Contribute to the business plan for Energy growth strategy in the Middle East with local leadership.</li><li>Lead and contribute to business development activities and leading proposals to provide technical support to win and deliver projects.</li><li>Lead and contribute to multidisciplinary technical workstreams across electricity networks, renewable energy, energy storage, system integration, energy strategy and related infrastructure.</li><li>Deliver feasibility and options studies, engineering assessments and technical advisory assignments from initial scoping through to final recommendations.</li><li>Assess project requirements, technical configurations, technology options, operational constraints and interfaces with existing infrastructure.</li><li>Undertake, review or coordinate relevant technical analyses, including power-system, grid-integration, energy-modelling and techno-economic studies.</li><li>Support the planning, design and delivery of electricity network and substation projects, including option selection, design coordination, technical specifications, equipment interfaces, procurement and construction-stage input.</li><li>Review designs, calculations, specifications, equipment data and technical documentation for alignment with project requirements, applicable standards and good industry practice.</li><li>Deliver technical due diligence and Owner’s Engineer assignments by evaluating technical, delivery and operational risks and developing proportionate recommendations.</li><li>Coordinate multidisciplinary inputs and engage confidently with clients, utilities, developers, contractors and other project stakeholders.</li><li>Manage assigned scopes in accordance with agreed programme, budget, quality, governance and health and safety requirements, including serving in a project manager role for projects.</li><li>Prepare and review clear technical deliverables and support proposals, client development and other business development activities.</li><li>Mentor junior professionals through technical review, coaching and knowledge sharing.&nbsp;</li><li>Maintain external relationships with industry peers, OEMs, Contractors, and Clients.</li><li>Contribute to the consistent application and continuous improvement of technical tools, methods and delivery standards.</li></ul><p><strong>Experience &amp; Qualifications</strong></p><br><ul><li>Bachelor’s degree in Electrical, Energy or Power Engineering, or a related discipline. A relevant postgraduate qualification would be advantageous.</li><li>Minimum of eight (8) years of relevant experience in consulting, utilities, project development, engineering, EPC, Owner’s Engineer or technical advisory environments.</li><li>Demonstrated technical depth in one or more areas such as electricity networks and substations, renewable energy, energy storage, grid connection, system integration, energy modelling, energy strategy, due diligence or project delivery, together with the ability to coordinate interfaces across disciplines.</li><li>Ability to interpret complex technical information, identify material issues and develop clear, evidence-based recommendations.</li><li>Good understanding of relevant international standards and engineering practices. Experience with Middle East utilities, regulatory frameworks or project-delivery environments would be highly regarded.</li><li>Experience using, reviewing or directing work undertaken with relevant engineering, modelling or data-analysis tools, such as DIgSILENT PowerFactory, ETAP, PSS®E, PSCAD, PLEXOS, Python or similar platforms, as relevant to the candidate’s technical specialism.</li><li>Strong written, presentation and client-facing communication skills, with the ability to explain complex matters clearly and contribute to proposals and business development.</li><li>Good interpersonal skills; e.g., relate well to colleagues, clients and business contacts, and can influence them to achieve positive results</li><li>Strong record of delivering technical excellence</li><li>Proven experience coordinating multidisciplinary teams, managing concurrent assignments and exercising sound technical, commercial and professional judgement.</li><li>Chartered Engineer status, or progress towards an equivalent recognised professional accreditation, would be advantageous.</li><li>Fluency in written and spoken English is required. Occasional regional or international travel may be required.</li></ul><p><strong>Why Join Us?</strong></p><br><ul><li>The opportunity to lead significant energy and infrastructure projects across the Middle East, working directly with utilities, governments, developers, investors and major energy users.&nbsp;</li><li>Access to GHD’s regional and global specialists across networks, renewables, energy storage, advisory and project delivery.&nbsp;</li><li>A platform to strengthen your technical leadership, project management and client relationship capabilities.&nbsp;</li><li>The opportunity to shape GHD’s regional Energy capability</li><li>Structured professional development, mentoring and opportunities to work towards professional accreditation.</li><li>An inclusive environment that values collaboration, technical quality and continuous learning.</li><li>Join a team that values knowledge-sharing, mentorship, and professional excellence.</li><li><strong>Be part of a workplace that combines collaboration, flexibility, and connection. Join us in the office three days per week to contribute, connect and excel in our vibrant environment.</strong></li></ul><br> </div>

Location: Abu Dhabi, United Arab Emirates<br><br>In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.<br><br>Thales has built a presence in the United Arab Emirates for over 35 years, and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1,800 people across Egypt, Iraq, Kuwait, KSA, Lebanon, Oman, Pakistan, Qatar and UAE. Together we delivered technology for the Dubai metro, the longest driverless metro network in the world and a fare collection system that processes up to 250,000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions, cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabi’s airport.<br><br>OUR OPPORTUNITY<br><br>Every day, hundreds of thousands of airplanes take off and land around the world, and millions of passengers hope to arrive at their destination quickly, safely, and without delay.<br><br>As a global leader in Air Traffic Management, Thales AMS's software and hardware systems are deployed in 170 countries.<br><br>Top Sky - Flow Manager relies on Thales’ ATC, Safety and Security unique expertise in Air Traffic Management to help Air Navigation Service Providers monitor and regulate air traffic flows by managing the allocation of departure slots, arrival times, and en-route delays to prevent congestion and maintain safe and efficient operations within the airspace system.<br><br>Thales and our partner are joining efforts to establish a new development center in the UAE. This collaboration aims to accelerate the development of advanced ATFM features within the Top Sky - Flow Manager suite and to deploy this new generation of ATFM services in this rapidly growing air traffic region<br><br>JOB OBJECTIV<br><br>This role will directly report to the onshore Software Engineering Manager for the assigned project within the UAE.<br><br>The Software Engineer must proactively work within an agile team on a service-oriented architecture.<br><br>He must have practical understanding, be force of proposal,be open to change, continuously improving his technical skills and like to work in an agile environment.<br><br>You will contribute to the solution definition and development, in close collaboration with Product Owner and the Teach Lead of the team in UAE by:<br><br>Contributing of the transformation of some business needs to Technical Req and give inputs for planning together with the team members,Participate to the design and development of services, components by collaborating with other software solutions engineer to share knowledge and improve overall product/solution<br><br><br>Roles & Responsibilities<br><br>The Software Engineer must have the following competencies:<br><br>Implement Rich web interface development (Java Script, HTML-5, CSS3, Vue JS, Angular ) Implement Software components developments (Java, Maven, Vert. X, , Spring Boot, REST) Take part in Continuous Integration Responsibility (Jenkins, Maven, Artifactory, Git, Jira, Sonar) Have ownership of his code, participate in the deployment and accompany it to production (practice in Ansible, Bash, SSH, Linux, Docker) Be an Active part of the Agile team Ensure the Code best practices and rules, TDD, time commitments. Participate on technical decisions and be able to defend and justify his own and the team choices Be the go to person for technical challenges Write high quality documents (e.g. technical documents, Low Level Design, ICD, High Level Designs, How-To documents, Software Requirement Specifications etc.) Adhere to project schedule, strategies, policies and constraints<br><br><br>Work Experience Requirements<br><br>The candidate must have rich hands-on experience in JAVA development and Java Script frameworks (one of Angular, React JS or Vue JS).<br><br>Master’s or Bachelor degree from an Engineering school and3+ years experience in development with high fluency in Java and Web user interface development.2+ years of Experience with Docker and Kubernetes technologies2+ Experience of Web protocols and technologies, RESTful Web services A pre-requisite is a strong knowledge of different architectural paradigms, including SOA and micro service, cloud native architectures, Dev Ops, SDLC and OOP Design best practices. Demonstrable experience in using tools related to Agile Software development and Dev OPS: GIT, Ansible, Docker, JIRA, Jenkins, Artifactory and similar. Must have technical writing experience (in English) and ability to produce high quality documents. Must be fluent in English Knowledge and experience of Linux System is mandatory Knowledge and experience of Databases and SQL is mandatory Candidates with additional knowledge in Python, C, C++ will be considered seriously.<br><br><br>Qualification, Certification & Educational Requirements<br><br>A bachelor’s or master’s in science degree standard or equivalent experience in a Software development environment Must have high fluency in spoken and written English (Candidates also fluent in French or/and Arabic will be preferred). Certifications in JAVA, Linux, Dev Ops toolset and Agile are preferred<br><br><br>Preferred Skills / Experience<br><br>A working experience with Air Trafic Conctrol or in Avionic constraints environment would be beneficial.<br><br>Hse Responsibilities<br><br>Take care of your own safety and the safety of others as far as it is practicable<br><br>To use safety equipment (including PPE) as required and intended<br><br>At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and Retrieval-Augmented Generation (RAG) .<br> The successful candidate will be responsible for building intelligent AI agents and workflows capable of reasoning, planning, task execution, and orchestration while ensuring all solutions are deployed in an on-premises environment using local AI models and tools.<br> Key Responsibilities Gather, analyze, and translate business requirements into scalable AI and Agentic AI solutions.<br> Design, develop, test, deploy, and maintain AI-powered applications and autonomous AI agents.<br> Build Agentic AI workflows capable of reasoning, planning, task execution, and orchestration.<br> Develop and integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures.<br> Integrate AI solutions with enterprise applications, APIs, databases, cloud services, and on-premises systems.<br> Optimize AI models, prompts, workflows, and application performance.<br> Ensure AI solutions comply with enterprise security, governance, privacy, and Responsible AI standards.<br> Prepare technical documentation, deployment guides, operational manuals, and knowledge transfer materials.<br> Provide technical support, troubleshooting, performance tuning, and continuous improvements.<br> Design and implement AI solutions using on-premises infrastructure, local models, and enterprise-approved AI tools .<br> Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.<br> 5+ years of software development experience, including 2+ years working with AI/Generative AI technologies.<br> Strong experience with Python and AI application development.<br> Hands-on experience with Large Language Models (LLMs) and prompt engineering.<br> Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.<br> Experience building Agentic AI or multi-agent systems.<br> Experience integrating AI applications with REST APIs , databases, and enterprise applications.<br> Familiarity with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen , or similar.<br> Experience working with vector databases such as Milvus, ChromaDB, FAISS, Pinecone , or equivalent.<br> Knowledge of model deployment using Ollama, vLLM, Hugging Face Transformers, NVIDIA NIM , or similar on-premises inference platforms.<br> Experience deploying and managing AI solutions in on-premises environments .<br> Understanding of AI security, governance, privacy, and Responsible AI principles.<br> Experience with Docker, Kubernetes, Git, and CI/CD pipelines is preferred.<br> Strong analytical, problem-solving, communication, and documentation skills.<br> Preferred Skills Experience with open-source LLMs such as Llama, Mistral, Qwen, Gemma, or DeepSeek .<br> Experience with GPU infrastructure and AI model optimization.<br> Knowledge of MLOps practices and AI monitoring.<br> Experience integrating AI solutions with enterprise platforms such as SAP, ServiceNow, Microsoft 365, or other enterprise systems.<br> Experience working in highly secure or regulated enterprise environments.<br> This JD is aligned with your requirement that all AI use cases must run on-premises using local models and on-premises tools , making it suitable for enterprise or government projects.<br></span> </div>