Python Developer Jobs in UAE

<ul><li><p>Build, train, test, and evaluate predictive machine learning models for healthcare use cases. Develop models that support clinical risk prediction, patient outcomes, utilisation, readmission risk, claims analytics, revenue cycle optimisation, and care pathway improvement. Analyse and model healthcare datasets including EHR, clinical, claims, pharmacy, laboratory, patient activity, and healthcare operational data. Apply statistical and machine learning techniques such as logistic regression, survival analysis, classification, clustering, random forest, XGBoost, and other predictive modelling methods. Prepare analytical datasets using advanced SQL, including cohort building, joins, window functions, longitudinal patient data, feature engineering, and data quality checks. Work with healthcare data standards and coding systems such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, and FHIR. Support clinical decision support, predictive analytics, healthcare AI, and data governance initiatives. Collaborate with clinicians and operational stakeholders to translate data science outputs into practical healthcare workflows. Evaluate model performance using appropriate metrics such as AUC, precision, recall, F1 score, sensitivity, specificity, calibration, and explainability methods. Ensure healthcare data privacy, ethical AI use, and compliance with relevant healthcare data governance requirements.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>urrently residing in the UAE. Bachelor’s Degree in Data Science, Computer Science, Statistics, Biostatistics, Biomedical Engineering, Health Informatics, or a related quantitative discipline. Minimum 2–5 years’ experience in data science. Minimum 2 years’ experience working with healthcare datasets, clinical analytics, health informatics, healthcare AI, health insurance data, or health-tech data. Proven hands-on experience building predictive models or machine learning solutions. Advanced Python or R experience for data science, machine learning, statistical modelling, feature engineering, and model evaluation. Advanced SQL experience for complex extraction, analytical dataset creation, cohort building, and healthcare data preparation. Experience working with healthcare datasets such as EHR, clinical, claims, pharmacy, laboratory, patient activity, or healthcare operational data. Understanding of healthcare coding or interoperability standards such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, or FHIR. Ability to communicate technical outputs clearly to clinical, operational, finance, and leadership stakeholders. Highly Desirable Master’s Degree or PhD in Health Data Science, Biostatistics, Computational Biology, Data Science, or a related field. Experience with UAE healthcare data environments, DHA regulations, NABIDH, Malaffi, or healthcare data residency requirements. Experience working within a hospital, clinic network, healthcare group, health insurance provider, health-tech company, clinical analytics team, or health informatics environment. Experience with clinical decision support systems. Experience with SHAP, LIME, or other model explainability methods. Experience with Power BI, Tableau, Plotly, or Dash to communicate data science outputs to leadership. </p></li></ul>

<ul><li><p>Build, train, test, and evaluate predictive machine learning models for healthcare use cases. Develop models that support clinical risk prediction, patient outcomes, utilisation, readmission risk, claims analytics, revenue cycle optimisation, and care pathway improvement. Analyse and model healthcare datasets including EHR, clinical, claims, pharmacy, laboratory, patient activity, and healthcare operational data. Apply statistical and machine learning techniques such as logistic regression, survival analysis, classification, clustering, random forest, XGBoost, and other predictive modelling methods. Prepare analytical datasets using advanced SQL, including cohort building, joins, window functions, longitudinal patient data, feature engineering, and data quality checks. Work with healthcare data standards and coding systems such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, and FHIR. Support clinical decision support, predictive analytics, healthcare AI, and data governance initiatives. Collaborate with clinicians and operational stakeholders to translate data science outputs into practical healthcare workflows. Evaluate model performance using appropriate metrics such as AUC, precision, recall, F1 score, sensitivity, specificity, calibration, and explainability methods. Ensure healthcare data privacy, ethical AI use, and compliance with relevant healthcare data governance requirements.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>urrently residing in the UAE. Bachelor’s Degree in Data Science, Computer Science, Statistics, Biostatistics, Biomedical Engineering, Health Informatics, or a related quantitative discipline. Minimum 2–5 years’ experience in data science. Minimum 2 years’ experience working with healthcare datasets, clinical analytics, health informatics, healthcare AI, health insurance data, or health-tech data. Proven hands-on experience building predictive models or machine learning solutions. Advanced Python or R experience for data science, machine learning, statistical modelling, feature engineering, and model evaluation. Advanced SQL experience for complex extraction, analytical dataset creation, cohort building, and healthcare data preparation. Experience working with healthcare datasets such as EHR, clinical, claims, pharmacy, laboratory, patient activity, or healthcare operational data. Understanding of healthcare coding or interoperability standards such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, or FHIR. Ability to communicate technical outputs clearly to clinical, operational, finance, and leadership stakeholders. Highly Desirable Master’s Degree or PhD in Health Data Science, Biostatistics, Computational Biology, Data Science, or a related field. Experience with UAE healthcare data environments, DHA regulations, NABIDH, Malaffi, or healthcare data residency requirements. Experience working within a hospital, clinic network, healthcare group, health insurance provider, health-tech company, clinical analytics team, or health informatics environment. Experience with clinical decision support systems. Experience with SHAP, LIME, or other model explainability methods. Experience with Power BI, Tableau, Plotly, or Dash to communicate data science outputs to leadership. </p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p>We are looking for a Senior Tech Lead with exceptional depth in AI, data systems, and product innovation.</p><br><p>This is not a traditional software engineering management role. We are seeking a world-class thinker and builder who is passionate about challenging legacy incumbents, leading deep technical exploration, and shipping real products that change the game.<br></p><br><p>You will lead forward-looking R&amp;D efforts, explore and prototype breakthrough ideas, and set the technical direction as this company scales across the MENA region. Working directly with the founders, you’ll have a primary voice in shaping not only <i>what </i>we build, but <i>how </i>we think.</p><br><p><br><b>Discover the Role</b></p><br><ul><li><p>Lead Technical Innovation: Identify whitespace opportunities, challenge legacy solutions, and architect future-ready systems for credit intelligence.</p><br></li><li><p>Prototype &amp; Build: Translate abstract concepts into high-impact prototypes and production-grade systems using AI and real-time data infrastructure.</p><br></li><li><p>Set Technical Direction: Own the architectural roadmap and strategic vision for R&amp;D initiatives with autonomy and clarity.</p><br></li><li><p>Push the Edge: Evaluate and apply emerging techniques in foundation models, causal inference, streaming analytics, and real-time ML.</p><br></li><li><p>Collaborate Across Disciplines: Partner with product, design, data science, and executive leadership to align technical innovation with strategic goals.</p><br></li><li><p>Mentor &amp; Elevate: Raise the bar for engineering and research excellence while building and scaling a high-performing team around you.</p><br></li></ul><p><br><b>Discover the Responsibilities </b></p><br><ul><li><p>You’ve led complex, high-impact engineering or AI projects at companies known for technical excellence (Big Tech, top-tier AI labs, or venture-backed startups).</p><br></li><li><p>You possess a strong grasp of the math, the models, and their practical application to real-world systems.</p><br></li><li><p>You are an active individual contributor who codes daily, prototypes rapidly, and understands systems at scale.</p><br></li><li><p>You combine vision with execution—you don’t just rebuild what’s been done, you imagine what’s possible.</p><br></li><li><p>You’ve worked across the full stack—from data infrastructure and backend systems to deploying ML models in production.</p><br></li><li><p>You thrive in ambiguous environments and operate with a bias toward bold action and continuous iteration.</p><br></li></ul><p><br><b>Discover the Requirements</b></p><br><ul><li><p>8+ years of engineering experience, with a strong track record of leading innovation in AI or data-intensive products.</p><br></li><li><p>Hands-on expertise with Python, distributed data systems (e.g., Spark, Kafka, Snowflake, Databricks), and ML frameworks (e.g., PyTorch, TensorFlow).</p><br></li><li><p>Proven experience architecting, deploying, and scaling production-grade systems.</p><br></li><li><p>Demonstrated ability to think creatively, challenge conventions, and lead R&amp;D from 0 to 1.</p><br></li><li><p>Deep understanding of the current AI research landscape and how to translate cutting-edge research into working software.</p><br></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for an experienced MongoDB Database Engineer to support enterprise-scale Digital Products and Digital Onboarding initiatives.<br> The ideal candidate will possess strong hands-on experience in MongoDB database administration, architecture, performance tuning, clustering, and database migrations within large-scale technology environments.<br> This role offers an opportunity to work on multiple high-impact technology projects involving mission-critical database platforms.<br> The successful candidate should be comfortable working in fast-paced environments, managing multiple priorities, and supporting complex database infrastructure and delivery requirements.<br> Key Responsibilities Design, administer, and maintain MongoDB database environments across enterprise platforms.<br> Support technology projects involving Digital Products and Digital Onboarding initiatives.<br> Manage MongoDB database deployments, upgrades, migrations, and performance optimization activities.<br> Configure and administer MongoDB Replica Sets and Sharded Cluster architectures.<br> Perform MongoDB backup and restore operations and ensure database availability and reliability.<br> Execute database patching, version upgrades, and environment maintenance activities.<br> Monitor database performance and implement tuning and optimization strategies.<br> Manage database migrations across environments with minimal downtime.<br> Collaborate with application, infrastructure, and engineering teams to support project deliveries.<br> Participate in Agile delivery practices and support multiple projects simultaneously.<br> Provide production support and troubleshoot database-related issues across environments.<br> Support out-of-hours and weekend activities when required for critical deployments or maintenance windows.<br> Required Technical SkillsMongoDB Administration Strong hands-on experience in MongoDB Database Administration.<br> Excellent understanding of MongoDB architecture and internal components.<br> Strong experience with: MongoDB Replica Sets MongoDB Sharding MongoDB Ops Manager MongoDB Backup &amp; Restore mechanisms Database patching and upgrades Performance tuning and optimization Database migrations Mongo Query Language (MQL) Operating Systems Strong working knowledge of: Unix Linux operating systems Database Technologies Experience working with Open Source database technologies.<br> Exposure to other database platforms will be considered an advantage.<br> Automation &amp; Scripting (Nice to Have) Exposure to modern automation technologies such as: Ansible Jenkins Terraform Experience with scripting languages including: Bash Python Delivery Methodology Experience working within Agile delivery environments.<br> Ability to manage multiple concurrent technology projects.<br> Strong understanding of enterprise technology delivery practices.<br> Required Competencies Strong analytical and problem-solving skills.<br> Ability to work effectively under pressure and within tight timelines.<br> Excellent professional communication skills.<br> Strong ownership mindset and self-management capabilities.<br> Ability to manage multiple priorities and project deliverables simultaneously.<br> Strong collaboration skills when working across cross-functional technology teams.<br> Preferred Experience 4+ years of experience working in large enterprise environments.<br> Banking or Financial Services industry experience is preferred.<br> Experience supporting large-scale digital transformation initiatives will be an added advantage.<br> Preferred Certifications MongoDB-related certifications are highly desirable.<br> Relevant database or cloud certifications will be an added advantage.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Overview Of The Role:</b></p><ul><li>The Assistant Manager - HR Analytics plays a crucial role in supporting the HR analytics, reporting, and automation agenda to meet the needs of the Real Estate HR function and broader business objectives. This role involves collaboration with various stakeholders, including HR Business Partners, Finance, and Department Heads, to enhance manpower cost planning, reporting, and data-driven decision-making processes. The role requires building and maintaining HR reporting systems, designing user-friendly dashboards, and automating HR processes to improve efficiency and data accuracy. The Assistant Manager will also contribute to executive reporting and group-level analytics initiatives, ensuring insights are timely and impactful.</li></ul><p><br></p><p><b>What You Will Do:</b></p><p>Manpower Cost Analytics</p><ul><li>Support MPC planning, budgeting, quarterly forecasting, and periodic review against actuals for both in-house and outsource populations.</li><li>Maintain data integrity and drive adoption of the SAC system, providing guidance, training, and resolving issues for HRBPs and Finance partners.</li></ul><p>Dashboards &amp; Reporting</p><ul><li>Design, develop, and maintain HR dashboards, scorecards, and self-service reporting solutions across the employee lifecycle.</li><li>Promote dashboard adoption among HR and business stakeholders, ensuring data accuracy and effectiveness.</li></ul><p>Automation &amp; AI</p><ul><li>Automate recurring HR reporting and operational processes using platforms like Power BI, Power Automate, SharePoint, and Copilot Studio.</li><li>Implement AI-enabled agents to enhance efficiency and encourage user adoption of automated solutions.</li></ul><p>Presentation of Data</p><ul><li>Deliver clear and creative presentations of data findings, assumptions, and suggestions, both electronically and in person, using advanced presentation techniques.</li></ul><p>Total Rewards Support</p><ul><li>Manage monthly Total Rewards (TR) case cycles and support incentive and compensation analytics, validations, and process improvements with HRBPs and Group TR.</li></ul><p>Data Analysis</p><ul><li>Perform detailed data analysis to address complex business problems, understanding business processes, and applying appropriate data analysis techniques to recommend solutions.</li></ul><p>Business Partnering</p><ul><li>Act as a trusted analytics partner to HRBPs and business leaders, providing timely ad-hoc analyses, insights, and data-driven recommendations.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Required Skills To Be Successful:</b></p><ul><li>Advanced proficiency in Power BI and Microsoft Excel.</li><li>Strong understanding of HR metrics and workforce analytics.</li><li>Experience in automating processes using tools like Power Automate and AI-enabled solutions.</li><li>Excellent analytical thinking and data storytelling abilities.</li></ul><p><br></p><p><b>What Qualifies You For The Role:</b></p><ul><li>Bachelor's Degree in Analytics, Statistics, Computer Science, MIS, or a related discipline.</li><li>3 to 5 years of experience as an Analytics Specialist in a high-performing business environment.</li><li>Experience with SAP SuccessFactors and SAP Analytics Cloud, combined with strong data analysis and BI tool expertise, such as Power BI or Tableau.</li><li>Proficiency in Python for data analysis and machine learning, with a focus on HR or workforce datasets.</li></ul><p><br></p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Identify and define business problems suitable for AI solutions; translate ambiguous business needs into clear data science problems; develop and implement optimized AI models that drive measurable business impact, improve efficiency, and support strategic objectives</span></p><br><br><p>DEVELOP YOUR CAREER WITH INDUSTRY LEADERS</p><br><p>NMDC Group is always looking for talented individuals to join our team. We know that our people are fundamental to our success as a business, which is why we support their career development and personal wellbeing in every way we can.</p><br><p>NMDC Group offers an environment where every employee can thrive and reach their professional potential. Nothing is more important to us than ensuring every employee feels valued and respected in their roles, and able to progress in their career through training, mentorship, and educational opportunities.</p><br><p>With a wide range of attractive employee benefits and competitive salaries, we have created a workplace defined by its culture, and made by its people. If you have a passion for EPC and marine construction and want to work on some of the region’s most exciting projects, find your next challenge with us.</p><br><br>Responsibilities:<br><ul><li><p><span>Identify and define business problems suitable for AI/ML solutions</span></p><br></li><li><p><span>Translate vague business questions into clear, solvable data science problems</span></p><br></li><li><p><span>Align AI solutions with strategic business goals and ROI expectations</span></p><br></li><li><p><span>Design, prototype, and develop ML models using structured and unstructured data</span></p><br></li><li><p><span>Pull datasets from project management tools, ERP systems (e.g., SAP), BIM software, and IoT sensors</span></p><br></li><li><p><span>Apply machine learning techniques (e.g., regression, clustering, neural networks) for predictive and prescriptive analytics</span></p><br></li><li><p><span>Develop models for predictive maintenance, risk forecasting, supply chain optimization, and quality control.</span></p><br></li><li><p><span>Serialize models and support deployment into production environments</span></p><br></li><li><p><span>Collaborate with engineers to productionize model retraining and serving systems</span></p><br></li><li><p><span>Monitor and optimize model performance; detect and address model drift</span></p><br></li><li><p><span>Ensure reliability, robustness, and scalability of deployed AI systems</span></p><br></li><li><p><span>Implement project-specific AI standards, protocols, and best practices</span></p><br></li><li><p><span>Identify and mitigate risks associated with model predictions and usage</span></p><br></li><li><p><span>Ensure quality assurance via computer vision and other techniques for defect detection and process compliance</span></p><br></li><li><p><span>Apply deep understanding of EPC / Marine project lifecycle (FEED to commissioning)</span></p><br></li><li><p><span>Perform time series forecasting, geospatial analysis, and simulation modeling</span></p><br></li><li><p><span>Apply statistical techniques including GLM, regression, random forests, boosting, and text mining</span></p><br></li><li><p><span>Create insights from large datasets using Python, R, SQL, Spark, and cloud tools (e.g., AWS S3, Redshift)</span></p><br></li><li><p><span>Work cross-functionally with project managers, engineers, and site personnel</span></p><br></li><li><p><span>Communicate technical findings and model insights in business terms</span></p><br></li><li><p><span>Stay updated on emerging data science practices and apply them where relevant.</span></p><br></li></ul><br>Qualifications:<br><p><span><span>Bachelor’s degree in engineering (Preferably Computer Science or Information Science), or equivalent</span></span></p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>The Assistant Manager - HR Analytics plays a crucial role in supporting the HR analytics, reporting, and automation agenda to meet the needs of the Real Estate HR function and broader business objectives. This role involves collaboration with various stakeholders, including HR Business Partners, Finance, and Department Heads, to enhance manpower cost planning, reporting, and data-driven decision-making processes. The role requires building and maintaining HR reporting systems, designing user-friendly dashboards, and automating HR processes to improve efficiency and data accuracy. The Assistant Manager will also contribute to executive reporting and group-level analytics initiatives, ensuring insights are timely and impactful.</p></li></ul><p><br><strong>What You Will Do:</strong></p><p><strong>Manpower Cost Analytics</strong></p><ul><li><p>Support MPC planning, budgeting, quarterly forecasting, and periodic review against actuals for both in-house and outsource populations.</p></li><li><p>Maintain data integrity and drive adoption of the SAC system, providing guidance, training, and resolving issues for HRBPs and Finance partners.</p></li></ul><p><strong>Dashboards &amp; Reporting</strong></p><ul><li><p>Design, develop, and maintain HR dashboards, scorecards, and self-service reporting solutions across the employee lifecycle.</p></li><li><p>Promote dashboard adoption among HR and business stakeholders, ensuring data accuracy and effectiveness.</p></li></ul><p><strong>Automation &amp; AI</strong></p><ul><li><p>Automate recurring HR reporting and operational processes using platforms like Power BI, Power Automate, SharePoint, and Copilot Studio.</p></li><li><p>Implement AI-enabled agents to enhance efficiency and encourage user adoption of automated solutions.</p></li></ul><p><strong>Presentation of Data</strong></p><ul><li><p>Deliver clear and creative presentations of data findings, assumptions, and suggestions, both electronically and in person, using advanced presentation techniques.</p></li></ul><p><strong>Total Rewards Support</strong></p><ul><li><p>Manage monthly Total Rewards (TR) case cycles and support incentive and compensation analytics, validations, and process improvements with HRBPs and Group TR.</p></li></ul><p><strong>Data Analysis</strong></p><ul><li><p>Perform detailed data analysis to address complex business problems, understanding business processes, and applying appropriate data analysis techniques to recommend solutions.</p></li></ul><p><strong>Business Partnering</strong></p><ul><li><p>Act as a trusted analytics partner to HRBPs and business leaders, providing timely ad-hoc analyses, insights, and data-driven recommendations.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Advanced proficiency in Power BI and Microsoft Excel.</p></li><li><p>Strong understanding of HR metrics and workforce analytics.</p></li><li><p>Experience in automating processes using tools like Power Automate and AI-enabled solutions.</p></li><li><p>Excellent analytical thinking and data storytelling abilities.</p></li></ul><p><br><strong>What Qualifies You For The Role:</strong></p><ul><li><p>Bachelor's Degree in Analytics, Statistics, Computer Science, MIS, or a related discipline.</p></li><li><p>3 to 5 years of experience as an Analytics Specialist in a high-performing business environment.</p></li><li><p>Experience with SAP SuccessFactors and SAP Analytics Cloud, combined with strong data analysis and BI tool expertise, such as Power BI or Tableau.</p></li><li><p>Proficiency in Python for data analysis and machine learning, with a focus on HR or workforce datasets.</p></li></ul><br><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><span>This role can be based in either Abu Dhabi or Malaysia. There will be Relocation support available if needed.</span><br><b><span>Discover the Opportunity</span></b></p><br><p><span>We are hiring a Data Analytics Director to join a leading global cryptocurrency exchange and play a pivotal role in shaping the future of its derivatives business. </span></p><br><p><span>Our client operates one of the industry's most sophisticated trading platforms, serving millions of users worldwide across spot, futures, and options markets. As trading volumes and product complexity continue to grow, the business is investing heavily in data-driven decision making to optimize performance, enhance user engagement, and identify new growth opportunities. </span></p><br><p><span>This is a unique opportunity to influence strategic direction within one of the most dynamic sectors of global financial markets.</span></p><br><p>​</p><br><p><b><span>Discover the Role</span></b></p><br><p><span>As the Data Analytics Director, you will lead the analytics function supporting a key revenue-generating derivatives business. </span></p><br><p><span>You will combine strategic leadership with hands-on analytical expertise, managing a high-performing team while partnering closely with trading, product, marketing, and business stakeholders. Your focus will be on transforming complex data into actionable insights that drive business performance, improve customer outcomes, and support critical decision-making across the organization. </span></p><br><p><span>This is a highly visible leadership position offering the opportunity to shape analytics strategy within a fast-growing global exchange.</span></p><br><p>​</p><br><p><b><span>Discover the Requirements</span></b></p><br><ul><li><p><span>Proven experience leading Data Analytics, Business Intelligence, or Data Science teams within financial services, trading, fintech, or cryptocurrency environments.</span></p><br></li><li><p><span>Strong understanding of derivatives, futures, trading products, market structure, and financial markets.</span></p><br></li><li><p><span>Advanced hands-on expertise with SQL and Python for large-scale data analysis and reporting.</span></p><br></li><li><p><span>Demonstrated ability to build, mentor, and develop high-performing analytics teams.</span></p><br></li><li><p><span>Experience partnering with senior business stakeholders to influence strategy through data-driven insights.</span></p><br></li><li><p><span>Strong commercial acumen with the ability to translate complex analytical findings into clear business recommendations.</span></p><br></li><li><p><span>Experience designing KPIs, performance frameworks, dashboards, and analytical models to support business growth.</span></p><br></li><li><p><span>Ability to thrive in a fast-paced, high-growth environment with evolving market dynamics.</span></p><br></li><li><p><span>Excellent communication and stakeholder management skills across technical and non-technical audiences.</span></p><br></li><li><p><span>Fluency in both English and Mandarin is essential.</span></p><br></li></ul><p><b><span>Discover the Benefits</span></b></p><br><ul><li><p><span>Opportunity to join one of the world's leading cryptocurrency exchanges.</span></p><br></li><li><p><span>Direct influence over a major global derivatives business.</span></p><br></li><li><p><span>Leadership role with significant visibility across senior management.</span></p><br></li><li><p><span>International career growth opportunities.</span></p><br></li><li><p><span>Full relocation support available for candidates moving to Abu Dhabi or Malaysia.</span></p><br></li><li><p><span>Competitive compensation package aligned with experience and market expertise.</span></p><br></li></ul><p><b><span>Apply Now!</span></b></p><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are looking for a Data Scientist to join the Business Analytics team at Spotify. You will work with the Regional Analytics Lead to evaluate and influence our growth strategy in Asia Pacific’s exciting and diverse landscape.&nbsp;</p><br> <p>You will collaborate with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working.</p><br> <p>The Business Analytics team is part of Spotify’s core business strategy organization. You’ll play a crucial role in the growth and direction of Spotify as we grow to 760M+ users around the globe.&nbsp;</p><br> <p>At your fingertips, you’ll have access to all the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio (and video)!</p><br> <br><br><p><b>What You'll Do </b></p><br><ul> <li>Develop data driven strategies to drive the growth of Spotify users and subscribers</li> <li>Identify new user growth levers in the SAMEA region and use experimentation to help drive that growth</li> <li>Create and communicate impactful recommendations and models that improve our product offering, user messaging, and channel optimization</li> <li>Build scalable data pipelines and dashboards to facilitate business performance tracking</li> <li>Work closely with business partners to understand the change they are driving and help them discover new opportunities for growth</li> <li>Design and implement comprehensive tests, making sure that we track all relevant metrics and that we’re learning at every step along the way</li> <li>Present your findings to senior collaborators, influencing the course of our business<br></li> </ul><br><p><b>Who You Are</b></p><br><ul> <li>You have a least 2+ years of professional experience synthesizing insights from data using tools such as Python/R, SQL</li> <li>Experience with distributed systems and cloud data platforms (BigQuery or GCP) is a plus</li> <li>Experience with AI tools (LLMs and coding assistants) is a plus</li> <li>Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data</li> <li>Have experience collaborating with partners to measure the impact of business/marketing initiatives and presenting those findings in coherent recommendations</li> <li>Have a background in Economics, Computer Science, Statistics, Engineering or a relevant field</li> <li>Comfortable working on a globally distributed team (with occasional international travel)</li> <li>Relevant experience in a consumer tech/product company is a plus<br></li> </ul><br><p><b>Where You'll Be </b></p><br><ul> <li>This role will be based at Spotify’s office in Dubai</li> <li>We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home</li> </ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><strong><span>We help the world run better</span></strong><span><br>At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</span></p><br> <p><span><strong><span>What you'll build</span></strong></span></p><br> <br> <p><span><span>In this role, you design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex, business-critical problems. Embedded directly within customer environments and fast-moving delivery teams, you translate strategic and operational challenges into rigorous analytical solutions at speed. You work closely with customers to deliver scalable, enterprise-grade outcomes that drive measurable business value. You are accountable for the quality, impact, and delivery of complex analytical initiatives — acting as a subject-matter expert, managing ambiguity, and ensuring data-driven solutions are robust, reliable, and aligned with business objectives.</span></span></p><br> <br> <p><span><strong><span>In this role, you will:</span></strong></span></p><br> <br> <ul> <li> <p><span><span>Transform complex business challenges into data-driven intelligence by identifying high-value problems, framing them analytically, and engineering robust features and insights.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Design, develop, train, and implement mathematical models, algorithms, and machine learning solutions to solve complex business problems.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Apply advanced techniques across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Integrate analytical and machine learning solutions into products, prototypes, or business processes, ensuring enterprise-grade scalability and robustness.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Define success metrics, quantify business impact, and translate analytical results into clear, actionable recommendations for decision-makers.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Lead or manage complex analytical workstreams or projects, including deliverables, milestones, risks, and escalations, as appropriate.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Communicate insights, trade-offs, and recommendations effectively to cross-functional teams and customer stakeholders, influencing decisions through evidence and expertise.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Work in an embedded, customer-facing setup, collaborating closely with customer teams to deeply understand their data, applications, and business context — co-developing impactful data and AI-driven solutions.</span></span></p><br> </li> </ul> <br> <p><span><strong><span>What you bring:</span></strong></span></p><br> <br> <ul> <li> <p><span><span>Expert-level proficiency in data science and machine learning, with strong command of Python and SQL, and the ability to design, validate, and optimize end-to-end analytical and ML solutions.</span></span></p><br> </li> </ul> <br> <br> <ul> <li> <p><span><span>Hands-on expertise with Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Proven experience applying a wide range of ML techniques — classification, forecasting, clustering, recommendation systems, anomaly detection — balancing accuracy, robustness, interpretability, and usability at scale.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Strong capability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational, or strategic decisions.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Experience delivering production-ready analytics and ML systems on modern data platforms, with a strong focus on data quality, governance, and reusability.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Exposure to SAP data landscapes including SAP S/4HANA, SAP BW/4HANA, SAP HANA Cloud, and familiarity with SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive-ready insights.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>You proactively leverage AI in everyday workflows, ensuring high-quality outputs through thoughtful context design and system integration.</span></span></p><br> </li> </ul> <br> <p><span><strong><span>Where you belong:</span></strong></span></p><br> <br> <p><span>You will be part of a growing AI and industry expert team dedicated to serving customers across the Americas, Europe, and Asia. We bring together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate and lead in their markets. We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy — not just produce analysis. This is a place for people who enjoy building something meaningful. You will thrive here if you are intellectually curious, customer-centric, and energized by the opportunity to drive real-world outcomes in a fast-evolving AI landscape.</span></p><br> <br> <br> <p><strong><span>Bring out your best</span></strong><span><br>SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.&nbsp;&nbsp;<br></span><strong><span>We win with inclusion</span></strong><span><br>SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>For SAP employees: Only permanent roles are eligible for the </span><span>SAP Employee Referral Program<span>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,&nbsp; gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br></span></span><span>Successful candidates might be required to undergo a background verification with an external vendor.</span></p><br> <p><strong><span>AI Usage in the Recruitment Process</span></strong></p><br> <p><span>For information on the responsible use of AI in our recruitment process, please refer to our </span><span>Guidelines for Ethical Usage of AI in the Recruiting Process</span><span>. </span></p><br> <p><span><span>Please note that any violation of these guidelines may result in disqualification from the hiring process.</span><span><br>Requisition ID: 457244 &nbsp;| Work Area: Software-Design and Development &nbsp;| Expected Travel: 0 - 10% &nbsp;| Career Status: Professional &nbsp;| Employment Type: Regular Full Time &nbsp;&nbsp;| Additional Locations: &nbsp;#LI-Hybrid<br></span></span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Janus DigitalJanus Digital is the agentic AI platform that runs the world's real assets.<br> Based in the UAE with global operations, our enterprise platform acts as the central operating system for intelligent buildings, and we earn only on the additional value we create.<br>Buildings account for nearly 40% of global energy consumption and carbon emissions, yet most are still run by fragmented systems that react to problems instead of preventing them.<br> We exist to change that, proving that AI for Good is also good business.<br>Unlike language models that can guess, our platform is grounded in physics: thermodynamics, pressure dynamics, energy conservation, and fluid mechanics.<br> It builds a live, millimetre-accurate picture of every structure, monitors how energy, water, and air move through every system in real time, anticipates maintenance weeks ahead, and makes thousands of autonomous micro-adjustments around the clock.<br> It calculates; it does not guess.<br>The technology is not new, it is battle-hardened: development began in 2009 and has matured through four generations of real-world deployment, built on 15+ years of foundational R&amp;D, 76 granted patents, and over $100M invested.<br> The platform is proven across 10,000+ building datasets in 253 cities, trusted by Fortune Global 500 companies, sovereign wealth funds, and premium hospitality brands, spanning hospitals, airports, malls, theme parks, power grids, and manufacturing.<br> Typical outcomes include around 29% energy savings, 99% equipment-risk detection before failure, and full deployment in 14 days with no phased rollout.<br> About this role This role sits within the AI Office, the team responsible for designing, building, and running Janus Digital’s AI platform and the engineering capability behind it.<br> Reporting to the Head of AI Office, the engineer joins a small, senior group working at the core of how the company applies artificial intelligence across its global operations.<br> We are looking for a full-stack AI engineer who combines hands-on software delivery with genuine platform depth—someone who has built and operated systems to a banking-grade standard and is fluent across modern cloud infrastructure, AWS in particular.<br> That background is central to the work: the AI Office ships production systems the wider organisation depends on, where reliability, security, and clean architecture are not optional.<br> The same instincts that keep banking and financial platforms dependable are exactly what this role demands.<br> As part of the AI Office, the engineer will own meaningful parts of the platform end to end—backend services, user-facing interfaces, identity and access, and the AI agent and integration layers—and will work alongside existing engineers and the CTO function on cloud deployment and reliability.<br> The objective is a platform engineered to a product standard: secure, scalable, observable, and built to evolve as the company and the field do.<br> This engineer is central to making that real.<br> What you'll do Build and own the product across the stack: backend services and APIs in Python and TypeScript; frontend interfaces in React (or equivalent) for web dashboards, administrative surfaces, and AI agent interaction layers.<br> Build cloud-native software on AWS (primary), and across the wider cloud ecosystem where relevant, that assumes it will run in a managed, containerized cluster environment.<br> Design and implement enterprise-grade authentication and authorization: SSO (SAML/OIDC), SCIM provisioning, RBAC, and fine-grained IAM.<br> Design the platform for multi-tenancy from the ground up: configuration isolation, provisioning flows, usage metering, and the operational tooling needed to run it reliably at scale.<br> Build and deploy production AI agents using MCP and streaming APIs; design multi-model orchestration across Claude, Gemini, and other models as the landscape evolves.<br> Contribute to and evolve the memory and knowledge architecture at the core of the platform—a structured, multi-graph, file-based system underpinning institutional intelligence across the company.<br> This is among the hardest and most consequential engineering problems on the platform.<br> Architect the platform as a composition of isolated, independently deployable microservices—each functional domain (finance tools, marketing stack, knowledge layer, agent runtime) a discrete service with well-defined APIs between them.<br> Competitive compensation with performance-based incentives tied to delivery quality and client outcomes.<br> A specialized domain-expert role at the absolute frontier of Agentic AI and autonomous building intelligence.<br> Hands-on engagement with prestigious, diverse real estate portfolios (commercial offices, hotels, malls, and mixed-use developments).<br> Direct collaboration with our global Head of AI team.<br> Clear career progression paths into senior consulting or regional delivery leadership roles.<br> Sponsorship and support for professional development, including certifications in building services and energy management.<br> What we're looking for 5+ years in a full-stack software engineering role, with shipped, production systems at scale—backend and frontend both visible in your GitHub history.<br> Direct experience building or operating banking, fintech, or comparable high-reliability, regulated software; you understand first-hand the reliability, security, and compliance bar these environments demand.<br> Broad, hands-on cloud experience: AWS (primary), with working knowledge across the wider cloud ecosystem (GCP/Azure).<br> You architect cloud-native systems, not just deploy to a single VM.<br> Containerization and cloud-native deployment in production: Docker and Kubernetes; you write software that assumes it will run in a managed cluster environment.<br> Strong Python and TypeScript; React or an equivalent modern frontend framework; genuine comfort moving between layers of the stack.<br> Demonstrable multi-tenant and/or distributed-systems experience: tenant isolation, provisioning flows, and the operational tooling that keeps distributed systems running in production.<br> Enterprise identity and access management implemented in production—SSO (SAML/OIDC), SCIM, RBAC, Okta or Azure AD—not just read about.<br> API design for external consumers: versioning, authentication, rate limiting, and documentation standards.<br> Security fundamentals: zero-trust principles, data isolation, audit logging, DLP—security as a design constraint, not a post-launch checkbox.<br> AI/LLM integration: MCP server development, function calling, streaming APIs, and multi-model orchestration.<br> Fluent with agentic development tooling—Claude Code, Codex, and CLI-based AI workflows—used with discipline and judgment, not as a substitute for engineering thinking.<br> Active GitHub profile mandatory—applications without a demonstrable commit history will not be considered.<br> Nice to have Experience with core banking, payments, or other regulated financial systems (transaction integrity, settlement, KYC/AML data flows, and similar).<br> Vertex AI / Google AI Studio / Claude API / Gemini Enterprise.<br> Slack Apps (Bolt Framework, Block Kit) and Google Workspace integrations.<br> Agent memory patterns, structured knowledge graphs, or evolving AI context-management architectures.<br> Regional compliance experience (GDPR, Singapore PDPA, UAE data protection frameworks).<br> Familiarity with Terraform or equivalent IaC tooling (ownership sits with the infrastructure team, but fluency helps).<br> Go or Rust for performance-critical components.<br> Experience taking an internal platform or product through significant scale or its first external users.<br></span> </div>

Employment Type: Full-time & Permanent Location: Dubai, UAE (Visa sponsorship and relocation assistance provided) Annual Base Salary: range of $80,000 - $120,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme. Annual Leave: 30 Calendar Days Public Holidays: As declared by UAE Government annually (8 to 14 days) Working Days: Monday – Friday Probation Period: 3 to 6 Months (as per UAE Labour Law) Health Insurance: Comprehensive Private Health Insurance (IPD, OPD & Dental) Residency Visa Sponsorship: Provided by the Company Relocation Support: Available for candidates relocating to Dubai End of Service Gratuity: As per UAE Labour Law<br>About Cobblestone Energy Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.<br>Cobblestone Values Excellence in Hiring & Teamwork Lifelong Learning Through Continuous Reflection Independent Thinking Through a Meritocracy of Ideas Winning<br>Job Description We are looking for an Exceptional Software Engineer to join our automated trading team, focused on building and optimizing high-performance automated trading systems and supporting infrastructure. In this role, you will collaborate closely with traders and infrastructure specialists to develop robust, scalable, and innovative solutions that directly impact our firm's trading operations.<br>What we offer in this role Competitive remuneration with rapid progression for strong performers. Leadership opportunities on impactful technical initiatives. Participation in the employee share scheme. Internation relocation support. Exposure to the commercial side of the business. A highly collaborative and open working culture.<br>Requirements BS/BE in Computer Science, Software Engineering, or a related discipline2 to 5 years of hands-on software development experience in C#, C++ or Python Proven experience building or contributing to trading systems with an understanding of orderbook structure, own order management and trade execution Strong understanding of database design and system architecture for low latency systems Ability to lead discussions, make sound architectural decisions, and deliver results Strong communication skills and a collaborative mindset Resilient, self-driven and aligned with Cobblestone's values<br>Responsibilities Design, develop, and optimize high-performance automated trading and infrastructure systems. Collaborate closely with traders and infrastructure teams to deliver solutions supporting trading strategies. Develop robust, scalable software components to manage real-time market data pipelines, automated order execution, and risk management processes. Ensure system reliability through automated testing, code reviews, and continuous integration and deployment practices. Monitor and improve system performance, latency, and throughput in a fast-paced trading environment. Investigate and resolve complex technical issues in production systems swiftly and accurately. Maintain comprehensive documentation of software systems and processes to facilitate knowledge sharing and system support. Participate in regular code reviews and adhere to established coding standards and best practices. Contribute to continuous innovation through researching new technologies and tools to enhance the trading platform. Mentor and support junior engineers.<br><br>Learn more about Cobblestone Energy careers:https://cobblestoneenergy.com/careers/Why work with us:https://cobblestoneenergy.com/why-work-with-us/Recruitment process:https://cobblestoneenergy.com/careers/vacancies/#process

Employment Type: Full-time & Permanent Location: Dubai, UAE (Visa sponsorship and relocation assistance provided) Annual Base Salary: range of $80,000 - $120,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme. Annual Leave: 30 Calendar Days Public Holidays: As declared by UAE Government annually (8 to 14 days) Working Days: Monday – Friday Probation Period: 3 to 6 Months (as per UAE Labour Law) Health Insurance: Comprehensive Private Health Insurance (IPD, OPD & Dental) Residency Visa Sponsorship: Provided by the Company Relocation Support: Available for candidates relocating to Dubai End of Service Gratuity: As per UAE Labour Law<br>About Cobblestone Energy Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.<br>Cobblestone Values Excellence in Hiring & Teamwork Lifelong Learning Through Continuous Reflection Independent Thinking Through a Meritocracy of Ideas Winning<br>Job Description We are looking for an Exceptional Software Engineer to join our automated trading team, focused on building and optimizing high-performance automated trading systems and supporting infrastructure. In this role, you will collaborate closely with traders and infrastructure specialists to develop robust, scalable, and innovative solutions that directly impact our firm's trading operations.<br>What we offer in this role Competitive remuneration with rapid progression for strong performers. Leadership opportunities on impactful technical initiatives. Participation in the employee share scheme. Internation relocation support. Exposure to the commercial side of the business. A highly collaborative and open working culture.<br>Requirements BS/BE in Computer Science, Software Engineering, or a related discipline2 to 5 years of hands-on software development experience in C#, C++ or Python Proven experience building or contributing to trading systems with an understanding of orderbook structure, own order management and trade execution Strong understanding of database design and system architecture for low latency systems Ability to lead discussions, make sound architectural decisions, and deliver results Strong communication skills and a collaborative mindset Resilient, self-driven and aligned with Cobblestone's values<br>Responsibilities Design, develop, and optimize high-performance automated trading and infrastructure systems. Collaborate closely with traders and infrastructure teams to deliver solutions supporting trading strategies. Develop robust, scalable software components to manage real-time market data pipelines, automated order execution, and risk management processes. Ensure system reliability through automated testing, code reviews, and continuous integration and deployment practices. Monitor and improve system performance, latency, and throughput in a fast-paced trading environment. Investigate and resolve complex technical issues in production systems swiftly and accurately. Maintain comprehensive documentation of software systems and processes to facilitate knowledge sharing and system support. Participate in regular code reviews and adhere to established coding standards and best practices. Contribute to continuous innovation through researching new technologies and tools to enhance the trading platform. Mentor and support junior engineers.<br><br>Learn more about Cobblestone Energy careers:https://cobblestoneenergy.com/careers/Why work with us:https://cobblestoneenergy.com/why-work-with-us/Recruitment process:https://cobblestoneenergy.com/careers/vacancies/#process

About UsAI71 is an applied research team dedicated to creating helpful and responsible AI agents for knowledge workers. Working closely with our industry partners, our cross-functional teams of AI experts build products grounded in the cutting edge research of our colleagues from the Technology Innovation Institute (TII). We are seeking a highly experienced and strategic Security Architect to define and lead the security architecture of our AI and data platform. In this role, you will be responsible for designing secure-by-design systems across AI workloads, data pipelines, and cloud-native infrastructure, ensuring the confidentiality, integrity, and availability of our platform at scale. You will collaborate closely with engineering, platform, and AI teams to embed security into every layer of system design, development, and deployment, while establishing standards and best practices aligned with enterprise and high-security environments.<br><br>Key Responsibilities Security Architecture and Design<br><br> Define and evolve the end-to-end security architecture for AI systems, data platforms, and cloud-native infrastructure. Establish and enforce Zero Trust principles, including identity-first security, m TLS, and fine-grained access control (RBAC/ABAC). Design secure patterns for distributed systems, event-driven architectures, and multi-tenant environments. Platform and Infrastructure Security Define security standards for Kubernetes-based platforms, including workload isolation, network policies, and runtime protection. Establish container and software supply chain security practices (e.g., image scanning, SBOM, signing, and provenance). Design secure deployment architectures for both cloud and restricted/air-gapped environments. AI and Data Security Define and implement security controls for LLM-based applications, RAG pipelines, and data platforms. Establish safeguards against AI-specific threats such as data poisoning, model extraction, and data leakage. Dev Sec Ops and Governance Embed security into Git Ops and CI/CD workflows, including policy-as-code and automated enforcement. Define and maintain secure SDLC practices aligned with ISO 27001 and internal governance frameworks. Lead threat modeling, architecture reviews, and security validations. Observability and Threat Detection Define requirements for security observability, including audit logging and anomaly detection. Ensure integration of security signals into observability platforms (e.g., Open Telemetry). Leadership and Collaboration Act as a security advisor to engineering and AI teams. Review system designs and enforce security standards. Mentor engineers and promote a strong culture of security awareness. Qualifications<br><br>Required Skills and Experience<br><br> Bachelor's or Master's degree in Computer Science, Cybersecurity, or a related field. 7+ years of experience in security engineering, architecture, or related roles. Experience designing security for distributed systems and cloud-native platforms. Strong understanding of Zero Trust, IAM, cryptography, and secure communication. Experience with Dev Sec Ops practices and secure CI/CD pipelines. Preferred Skills Experience securing AI/ML systems or data platforms. Familiarity with streaming technologies (e.g., Kafka, NATS). Experience in regulated or high-security environments. Certifications such as CISSP or CSSLP. Proficiency in Python or Bash for automation. Why Join Us? Work on cutting-edge AI technologies with a focus on security and ethics. Shape the security architecture of a next-generation AI platform. Collaborate with a diverse and talented team. Competitive salary, equity options, and benefits. Opportunities for growth and leadership.

Location: UAE (Home office: Austin, TX)<br><br>Travel: Mission-dependent, up to ~75% (OCONUS rotations)<br><br>Clearance Requirement: Active Secret required<br><br>About NODA<br><br>NODA is a veteran-owned Series A defense technology company building the orchestration layer for autonomous unmanned systems. Our platform — URZA — coordinates fleets of heterogeneous vehicles across air, sea, and land for defense and intelligence customers. We expect every hire to be mission-driven with strong agency.<br><br>The Role<br><br>We are seeking a senior full-stack engineer to lead URZA deployment and customer-facing technical delivery across active customer programs. This req can land at either Senior Solution Engineer (L5) or Solution Architect (L6) depending on demonstrated depth — see leveling below.<br><br>You will own URZA deployments end-to-end at customer sites — primarily in DoW and military operating environments. You will lead engagements as the senior engineering presence on the ground, partner directly with Mission Leads and Field Operations, and represent NODA in customer technical reviews. Expect significant time on-site and significant time writing — runbooks, deployment guides, Con Ops documents, after-action reports.<br><br>What you'll do<br><br>Lead URZA deployments end-to-end at customer sites in DoW and military operating environments. Configure URZA for each customer's mission and Con Ops. Integrate URZA with third-party C2 systems, sensors, software APIs, and external data sources (weather, reconnaissance, intelligence feeds). Run customer technical reviews and operator training; partner with Mission Leads on engagement coordination. Build reusable engagement scaffolding (runbooks, Con Ops templates, integration playbooks); mentor mid-level Solution Engineers. <br><br>Required Qualifications<br><br>5+ years of full-stack engineering experience, with significant customer-facing or forward-deployed work. Strong proficiency in Python, C++, or Rust; advanced Linux fluency. Networking depth (TCP/IP, UDP, multicast, routing) and field debugging across multiple system layers. Demonstrated deployment experience in DoW, military, or comparable operational environments. U. S. citizenship; able to obtain a security clearance. <br><br>Preferred Qualifications<br><br>Hands-on with autonomous systems or unmanned vehicles (UAS, UGV, USV, UUV). Tactical C2 systems (TAK, Cursor-on-Target, Link 16) or pub-sub middleware (Zenoh, DDS). Experience integrating sensors, third-party APIs, or external data feeds (weather, reconnaissance, intelligence). Prior defense, autonomy, or robotics company experience; classified / ITAR / CMMC environment exposure. Active security clearance. <br><br>Leveling — Senior SE (L5) vs. Solution Architect (L6)<br><br>Senior Solution Engineer (L5): Owns URZA deployment for a single engagement. Leads on-site execution; partners with a more senior engineer on architecture decisions. Operates independently within an engagement; escalates cross-engagement trade-offs. Mentors mid-level SEs.<br><br>Solution Architect (L6): Owns URZA deployment architecture across multiple concurrent engagements. Defines integration patterns and Con Ops templates that other SEs reuse. Holds customer technical authority where the customer expects an architect. Influences URZA roadmap and the integration layer directly through field learning.<br><br>Skills & Attributes<br><br>Systems thinker across compute, network, vehicle behavior, and Con Ops. Field-grounded; comfortable diagnosing in degraded conditions on a live exercise clock. Documentation-disciplined. Customer-credible; holds technical authority without overstating or underselling. Self-directed; thrives in ambiguity. <br><br>What we offer<br><br>Hybrid work environment Competitive base + equity Flexible time off and generous PTOFederal holidays401(k) Comprehensive health, dental, and vision benefits Free One Medical membership<br><br>Growth Path at NODA<br><br>Senior Solution Engineer → Solution Architect → Principal Solution Architect. Lateral: Engineering Manager (Solutions Engineering), Product Manager, Mission Lead.<br><br>We are an Equal Opportunity Employer and welcome applicants from all backgrounds. All qualified individuals will receive consideration for employment regardless of race, age, color, religion, sex, national origin, disability, or protected veteran status.

Quantum Gate is dedicated to developing and commercializing cutting-edge post-quantum cryptographic solutions. Our mission is to safeguard enterprise digital environments through innovative protocols and applications that address the evolving challenges of the post-quantum era.<br><br>As a Platform Engineer, you will be responsible for designing, implementing, and maintaining scalable infrastructure, CI/CD pipelines, and cloud environments. You will work closely with development, security, and operations teams to streamline software delivery, improve system reliability, and ensure the highest standards of security and performance.<br><br>Key Responsibilities<br><br>Design, implement, and maintain scalable, secure, and highly available cloud infrastructure. Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform or AWS Cloud Formation. Build, automate, and optimize CI/CD pipelines to support rapid and reliable software delivery. Deploy, manage, and monitor containerized applications using Docker and Kubernetes. Automate infrastructure provisioning, configuration, and deployment processes. Manage source code repositories and branching strategies using Git. Implement configuration management solutions using tools such as Ansible, Chef, or Puppet. Monitor system health, performance, and availability using tools such as Prometheus, Grafana, ELK Stack, or similar monitoring platforms. Collaborate with development teams to troubleshoot deployment issues and optimize application performance. Implement infrastructure and application security best practices, including access control, vulnerability management, and compliance standards. Ensure system reliability, disaster recovery readiness, and high availability across production environments. Document infrastructure, deployment procedures, and operational best practices.<br><br>Required Qualifications<br><br>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience). Proven experience as a Dev Ops Engineer, Cloud Engineer, or in a similar role. Strong proficiency in scripting languages such as Python, Shell (Bash), or Ruby. Hands-on experience with Docker and Kubernetes. Experience implementing Infrastructure as Code (IaC) using Terraform or Cloud Formation. Strong knowledge of Git and modern version control practices. Experience designing and maintaining CI/CD pipelines. Hands-on experience with configuration management tools such as Ansible, Chef, or Puppet. Strong experience with one or more cloud platforms, including AWS, Microsoft Azure, or Google Cloud Platform (GCP). Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or equivalent solutions. Strong understanding of infrastructure and application security best practices. Experience implementing and maintaining security controls across cloud infrastructure and application deployments. Excellent troubleshooting, analytical, and problem-solving skills. Strong communication and collaboration skills.<br><br>Preferred Qualifications<br><br>Experience working with microservices architecture. Knowledge of Dev Sec Ops principles and security automation. Experience with Linux system administration. Familiarity with cloud networking, IAM, and security services. Relevant cloud or Dev Ops certifications (AWS, Azure, GCP, Kubernetes, Terraform, etc.) are an advantage.<br><br>What We Offer<br><br>Opportunity to shape the future of cybersecurity in a high-impact venture. Collaborative, mission-driven culture with deep technical talent. Competitive compensation, benefits and relocation assistance (if applicable) Exposure to cutting-edge technologies and strategic partnerships.<br><br>Join us to drive innovation and shape the future of technology!<br><br>How To Apply<br><br>Are you ready to embark on an exciting journey with Quantum Gate? To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role.<br><br>Join us as we pioneer innovative solutions to secure the future of digital technology and protect tomorrow’s digital society.

Quantum Gate is dedicated to developing and commercializing cutting-edge post-quantum cryptographic solutions. Our mission is to safeguard enterprise digital environments through innovative protocols and applications that address the evolving challenges of the post-quantum era.<br><br>As a Platform Engineer, you will be responsible for designing, implementing, and maintaining scalable infrastructure, CI/CD pipelines, and cloud environments. You will work closely with development, security, and operations teams to streamline software delivery, improve system reliability, and ensure the highest standards of security and performance.<br><br>Key Responsibilities<br><br>Design, implement, and maintain scalable, secure, and highly available cloud infrastructure. Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform or AWS Cloud Formation. Build, automate, and optimize CI/CD pipelines to support rapid and reliable software delivery. Deploy, manage, and monitor containerized applications using Docker and Kubernetes. Automate infrastructure provisioning, configuration, and deployment processes. Manage source code repositories and branching strategies using Git. Implement configuration management solutions using tools such as Ansible, Chef, or Puppet. Monitor system health, performance, and availability using tools such as Prometheus, Grafana, ELK Stack, or similar monitoring platforms. Collaborate with development teams to troubleshoot deployment issues and optimize application performance. Implement infrastructure and application security best practices, including access control, vulnerability management, and compliance standards. Ensure system reliability, disaster recovery readiness, and high availability across production environments. Document infrastructure, deployment procedures, and operational best practices.<br><br>Required Qualifications<br><br>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience). Proven experience as a Dev Ops Engineer, Cloud Engineer, or in a similar role. Strong proficiency in scripting languages such as Python, Shell (Bash), or Ruby. Hands-on experience with Docker and Kubernetes. Experience implementing Infrastructure as Code (IaC) using Terraform or Cloud Formation. Strong knowledge of Git and modern version control practices. Experience designing and maintaining CI/CD pipelines. Hands-on experience with configuration management tools such as Ansible, Chef, or Puppet. Strong experience with one or more cloud platforms, including AWS, Microsoft Azure, or Google Cloud Platform (GCP). Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or equivalent solutions. Strong understanding of infrastructure and application security best practices. Experience implementing and maintaining security controls across cloud infrastructure and application deployments. Excellent troubleshooting, analytical, and problem-solving skills. Strong communication and collaboration skills.<br><br>Preferred Qualifications<br><br>Experience working with microservices architecture. Knowledge of Dev Sec Ops principles and security automation. Experience with Linux system administration. Familiarity with cloud networking, IAM, and security services. Relevant cloud or Dev Ops certifications (AWS, Azure, GCP, Kubernetes, Terraform, etc.) are an advantage.<br><br>What We Offer<br><br>Opportunity to shape the future of cybersecurity in a high-impact venture. Collaborative, mission-driven culture with deep technical talent. Competitive compensation, benefits and relocation assistance (if applicable) Exposure to cutting-edge technologies and strategic partnerships.<br><br>Join us to drive innovation and shape the future of technology!<br><br>How To Apply<br><br>Are you ready to embark on an exciting journey with Quantum Gate? To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role.<br><br>Join us as we pioneer innovative solutions to secure the future of digital technology and protect tomorrow’s digital society.

Amali Properties is a luxury real estate developer co-founded by Mr. Ali Sajwani and Ms. Amira Sajwani, redefining modern luxury living through bespoke architecture, visionary design, and exceptional craftsmanship.<br>With a growing portfolio of ultra-luxury developments across the UAE, Amali is shaping the future of refined living through distinctive, design-led spaces that blend privacy, sophistication, and innovation.<br>About the Role We are seeking a highly analytical and detail-oriented Manager Internal Audit to support the development and execution of Amali’s Internal Audit function. This role will be responsible for evaluating the effectiveness of internal controls, risk management practices, governance processes, and operational compliance across the organization, with a particular focus on real estate development activities.<br>The Manager will work closely with business leaders and stakeholders to identify risks, assess control effectiveness, recommend process improvements, and ensure compliance with internal policies, regulatory requirements, and industry best practices.<br>Key Responsibilities<br>Plan and execute risk-based internal audits across business functions, including Development, Projects, Commercial, Procurement, Finance, Sales, CRM, and Corporate Functions. Assess the adequacy and effectiveness of internal controls, governance processes, and risk management frameworks. Conduct audits covering real estate development processes, project delivery, procurement, contract management, consultant appointments, variation approvals, and payment controls. Review project expenditures, procurement transactions, tendering processes, consultant contracts, and vendor management activities to ensure compliance with company policies and delegated authorities. Identify operational, financial, compliance, and project-related risks and recommend practical solutions to strengthen controls. Evaluate the effectiveness of project governance frameworks, approval workflows, and reporting mechanisms. Prepare audit findings, risk assessments, and management reports with clear recommendations and action plans. Monitor and follow up on audit observations to ensure timely implementation of agreed corrective actions. Support investigations, special reviews, and ad-hoc management requests as required. Assist in the continuous enhancement of internal audit methodologies, policies, procedures, and audit programs. Collaborate with business stakeholders to promote a culture of compliance, accountability, and continuous improvement. Ensure adherence to applicable regulatory requirements, corporate governance standards, and industry best practices.<br>Experience & Skills<br>Bachelor's degree in Accounting, Finance, Auditing, Business Administration, or a related discipline. Professional certifications such as CIA, ACCA, CPA, CA, CISA, or equivalent are preferred. Minimum 8–12 years of Internal Audit experience, with at least 5 years within a real estate development company. Mandatory experience auditing real estate development, construction, project delivery, procurement, and commercial operations. Strong understanding of project lifecycle controls, contract administration, procurement governance, budgeting, cost management, and delegated authority frameworks. Experience conducting operational, financial, compliance, and project audits. Strong knowledge of risk management principles, internal control frameworks, and corporate governance practices. Excellent analytical, problem-solving, report writing, and stakeholder management skills. Ability to interpret complex business processes and identify opportunities for control enhancements. Proficiency in ERP systems, audit tools, Microsoft Excel, and data analysis techniques. Strong communication and presentation skills with the ability to engage effectively with senior management and business leaders.<br>Preferred Qualifications<br>Additional certifications such as CIA, CISA, CFE, or PMP. Experience with project performance measurement techniques such as Earned Value Management (EVM). Exposure to BIM (Building Information Modelling) within project environments. Familiarity with data analytics tools such as ACL, IDEA, Power BI, or SQL/Python-based analysis. Experience working within the UAE or GCC real estate development sector.<br>If you believe you have the expertise to strengthen governance and risk management across world-class developments, please click apply and join Amali Properties in shaping the next generation of ultra-luxury real estate.

About Ansen Ansen is a globally expanding cybersecurity company driven by AI innovation. Headquartered in Abu Dhabi, we deliver advanced security technologies and professional services to government organizations and enterprises across international markets. Our mission is to build secure, resilient digital systems and protect the peace of the digital world.<br>Role Overview We are building a team of Forward Deployed Engineers (FDEs) to work directly with customers, internal stakeholders, and product teams to design, build, deploy, and scale high-impact AI-enabled systems in real operational environments.<br>This role sits at the intersection of software engineering, AI product development, solution architecture, and customer delivery. You will understand user workflows, rapidly prototype solutions, turn them into reliable production systems, and provide field insights that shape the product roadmap.<br>This is a team-based role. Individual candidates are not expected to be experts in every area. We are hiring complementary strengths across software engineering, AI/LLM engineering, data systems, cloud infrastructure, enterprise integrations, security, and production deployment.<br>Key Responsibilities Work directly with users and technical stakeholders to understand workflows, data sources, pain points, and success criteria. Translate ambiguous operational requirements into clear technical designs and deployable solutions. Build production-grade applications, APIs, integrations, data workflows, and AI-powered features. Develop LLM, RAG, agentic, extraction, classification, and decision-support workflows. Deploy and operate solutions using cloud platforms, containers, CI/CD, monitoring, logging, testing, and security controls. Debug issues across application, data, model, infrastructure, and integration layers. Scale successful pilots into production rollouts across multiple teams or customer environments. Identify reusable implementation patterns and convert customer feedback into actionable product requirements and playbooks.<br>Required Qualifications Strong software engineering experience in at least one major area, such as backend development, full-stack development, data engineering, AI engineering, cloud infrastructure, or enterprise integrations. Demonstrated ability to build and ship working software in real operational environments—not only prototypes or demos. Proficiency in one or more modern programming languages, such as Python, Type Script, Java Script, Go, or Java. Practical experience with APIs, databases, authentication, deployment workflows, and production debugging. Strong problem-solving ability in ambiguous and fast-moving environments. Sound judgment when balancing speed, reliability, security, scalability, and maintainability. Excellent communication skills and confidence working directly with both technical and non-technical stakeholders.<br>Relevant Team Capabilities Experience in one or more of the following areas is highly valued:Software and Product Engineering: Full-stack applications, backend services, APIs, event-driven systems, databases, enterprise integrations, and user-centered workflows. AI and LLM Engineering: RAG, AI agents, tool calling, evaluations, prompt regression testing, model monitoring, fine-tuning, inference optimization, and AI red teaming. Infrastructure, Dev Ops, and Security: AWS, Azure, GCP, private cloud, Docker, Kubernetes, Terraform, CI/CD, observability, IAM, audit logging, secrets management, and secure deployment patterns. Data and Enterprise Integration: ETL/ELT, streaming, document ingestion, data quality, schema design, and integrations with CRM, ERP, ticketing, SIEM/SOAR, email, document repositories, and internal databases.<br>Relevant backgrounds may include:Full-Stack Engineer Backend Engineer AI/LLM Engineer Data Engineer Dev Ops or Platform Engineer Solutions Architect Technical Consultant Cybersecurity Engineer Enterprise Software Implementation Engineer<br>Success in the First 3–6 Months Deliver working pilots or production features in real customer environments. Convert ambiguous requirements into usable technical solutions and repeatable implementation patterns. Improve adoption through close user engagement, clear communication, and practical engineering. Identify product gaps and provide actionable feedback to the core product roadmap.

Overview<br><br>Are you looking for an experience where you can learn and earn at the same time? Our internships provide valuable work experience while you prepare for life after graduation. Interns at Esri work on challenging projects with experienced team members throughout the company.<br><br>Each internship is a full-time, paid position with salaries comparable to other software development companies.<br><br>Being Paid Is Just One of the Perks<br><br>Other Great Perks Include<br><br>Up to 6 months of program with flexible start dates Free software training courses<br><br>Responsibilities<br><br>Esri interns contribute to real projects and are mentored by team members along the way. Some of our technically-oriented interns have worked on a wide range of exciting projects such as:<br><br>Research state of the art methods or approaches that can be used to improve the software or solve a new problem Help design, test, and document new functionality in Arc GIS products Develop use cases that show the value of spatial analysis in solving important problems that we face as a society Write blog posts or learn lessons that explain how to use Arc GIS to accomplish a well-defined goal Be part of building the world's leading GIS software from the ground up<br><br>Requirements<br><br>Basic knowledge of GIS and remote sensing Excellent test engineering and problem-solving skills Strong development skills using Java, C#, or Python Desire and ability to learn new skills and contribute to producing quality commercial software<br><br>Recommended Qualifications<br><br>The Company<br><br>At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.<br><br>If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!<br><br>Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.<br><br>Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.