Python Developer Jobs in UAE in UAE 2026

Contract 0 to 0 years LinkedIn

ADAS & Autonomous Driving Data Replay Engineer – SIL/HIL

Remote - UAE - Dubai Thursday

Engineering

Location: Pune, Maharashtra Work Mode: Mandatory Work from Office Key Responsibilities Build, deploy, maintain, and operate autonomous driving data replay environments, including both Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing systems and their associated software and hardware infrastructure. Perform replay, processing, and analysis of real-world vehicle data collected from autonomous driving and ADAS testing, including camera/vision data, LiDAR, millimeter-wave radar, vehicle bus data, and other relevant sensor data. Evaluate the performance and quality of autonomous driving and ADAS algorithms based on real-world recorded data and replay test results. Support issue reproduction, root-cause analysis, and verification of algorithm improvements after software iterations. Operate and maintain data replay workstations, servers, networking equipment, and associated hardware infrastructure to ensure stable and efficient execution of replay and validation tasks. Work closely with algorithm, testing, and overseas R&D teams to analyze issues, drive issue closure, and continuously improve algorithm quality. Prepare test results and analysis reports when required. Support continuous improvement of the data replay toolchain, testing workflows, and automation capabilities to improve the efficiency of data processing and algorithm validation. Qualifications Education Bachelor's degree or above in Computer Science, Software Engineering, Vehicle Engineering, Automation, Electronic Engineering, or a related discipline. Degree from a top-tier university in India is preferred. Technical Skills Strong knowledge of Ubuntu/Linux, with hands-on experience in software deployment, system operation, and troubleshooting in Linux environments. Proficiency in Python, with practical experience in software development, data processing, or test automation. Knowledge of C/C++ is preferred. Familiarity with autonomous driving and ADAS sensor data, including camera/vision, LiDAR, and millimeter-wave radar, as well as their data structures, formats, and processing pipelines. Familiarity with autonomous driving data collection, data processing, data replay, software development, and algorithm validation workflows. Understanding of Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing methodologies and system architectures. Familiarity with the operation and maintenance of servers, workstations, networking equipment, and related hardware systems. Strong troubleshooting, system debugging, and problem-solving skills. Experience At least 2 years of professional experience in autonomous driving, ADAS, data platforms, testing and validation, or a related field. Hands-on experience in at least one complete autonomous driving/ADAS data replay, algorithm validation, or related testing project, covering activities such as environment setup, test execution, issue analysis, and validation closure. Experience with large-scale autonomous driving data processing, SIL/HIL testing, algorithm regression testing, or real-world issue reproduction is preferred. Other Requirements Good English communication skills and the ability to work effectively with engineering teams in China and other overseas locations. Strong teamwork, ownership, and ability to independently troubleshoot and resolve technical issues. This is a mandatory work-from-office role based in Pune. Candidates must be willing to work onsite. Interested candidates can send their CV to hi@maprgo.com.

Bayt

Graduate Data Scientist

On-site - UAE 29 July 2026

Construction & Real Estate

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description Work with Us. Change the World. 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. 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. We're one global team driven by our common purpose to deliver a better world. Join us. Job Description AECOM is seeking a highly motivated and skilled Data Scientist to support our Quantity Surveying and Cost Management teams in the Dubai, UAE office. The candidate will play a pivotal role in leveraging digital tools and technologies to enhance project efficiency, accuracy, and data-driven decision-making. This role is ideal for someone with a passion for digital innovation in the construction sector and wants to be a part of the success of the creation and implementation of planned and future digital initiatives. This role is a part of our 24-months Advance graduate program. Your journey from graduate to future leader will be supported through structured learning programs and one-on-one mentoring with industry experts, equipping you with the tools to make a lasting impact on our organization and the nation. As part of AECOM’s commitment to Emiratisation and in accordance with UAE labour law, only UAE Nationals with a family book will be considered for this role. This role is fully NAFIS eligible. AECOM manages all registrations and contributions to the GPSSA (General Pension and Social Security Authority). Key Responsibilities <ul><li>Digital Support for quantity surveying and cost management teams: Collaborate with quantity surveyors to ensure seamless integration of digital workflows into traditional practices .Enhance and support cost planning, cost control, and value engineering processes using digital platforms. Maintain and update databases, ensuring accurate and up-to-date information for project teams. Generate information rich reports and dashboards using data visualization tools.</li><li>Data Management & Analysis: Collect, organize, and analyze project data to provide actionable insights for cost management. Develop and maintain digital templates, workflows, and automation scripts to improve efficiency. Ensure data integrity and compliance with company standards and protocols.</li><li>Technology Implementation: Provide training and technical support to team members on digital tools and processes. Stay updated on emerging technologies and recommend innovative solutions to enhance project delivery. Support cross-functional teams in adopting digital practices and fostering a culture of innovation.</li></ul> Qualifications A degree or diploma in a relevant field such as Quantity Surveying, Digital Engineering, Software Engineering, Computer Science, Data Analytics or a related field with a minimum GPA of 2.8 Specific Skills Required: <ul><li>An understanding of common construction industry digital tools like BIM authoring and management software (e.g., Revit, Navisworks, ACC, Solibri, Aconex), CostX, or similar platforms. </li><li>Advanced skills in Python, SQL, data visualization tools (e.g., Power BI), and other relevant software. </li><li>Excellent analytical and problem-solving skills. </li><li>Strong communication and teamwork abilities. </li><li>Experience with programming and developing automation tools with Dynamo, Python, VBA or similar scripting languages. </li><li>The ideal candidate would have experience working in teams to deliver complex projects with multiple stakeholders. </li><li>Effective communicate, including speaking to groups and providing training sessions from time to time would be required. </li><li>Well established organization and time management skills. </li><li>Confident to engage and positively challenge with other team members across disciplines and of different seniorities. </li><li>Be inclusive and supportive and contribute to a positive and productive team environment. </li></ul> Additional Information At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. 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. About AECOM  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&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.  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.  What makes AECOM a great place to work  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.  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.  </div>

Full Time 0 to 0 years

AI Architect & Technical PM (Agentic AI)

On-site - UAE - Dubai 28 July 2026

Information Technology

Company Description Pansoft Technologies LLC is a global Information Technology products, consulting, and services organization founded in 2010. The company delivers advanced technology solutions and professional services to clients across India, the UAE, Saudi Arabia, the USA, Ireland, Qatar, Australia, the UK, and Europe, with a strong presence in the Middle East. Pansoft’s team of over 100 skilled professionals focuses on customer growth and long-term partnerships. The organization collaborates with a robust partner ecosystem, including Oracle, Ellucian, AWS, Totara, Salesforce, D2L Brightspace, Mendix, and Microsoft. Pansoft fosters a culture of passion, persistence, and perseverance, offering opportunities to work on innovative products, solutions, and services. Role Description The AI Architect & Technical PM (Agentic AI) is a full-time, on-site role based in Dubai. This role is responsible for designing and overseeing end-to-end AI architectures with a focus on agentic AI systems, including data pipelines, model integration, and application layers. The AI Architect & Technical PM will coordinate software development activities, define technical roadmaps, and ensure seamless integration of AI components with existing enterprise systems. Daily responsibilities include leading technical design sessions, managing project plans and timelines, aligning stakeholders on requirements, and monitoring implementation quality and performance. The role also involves collaborating with cross-functional teams, managing risks and dependencies, and ensuring solutions meet security, compliance, and scalability standards. Role Overview We are looking for an experienced AI Architect to lead the design and implementation of enterprise AI solutions for a leading organisation in the Real Estate sector. The ideal candidate will define the AI strategy, architect scalable AI platforms, and drive the adoption of Generative AI and intelligent automation across business functions. Key Responsibilities - Define and implement enterprise AI architecture and technology roadmap. - Design scalable AI/ML, Generative AI, and Agentic AI solutions. - Architect LLM-based applications using RAG and multi-agent frameworks. - Establish AI governance, security, and best practices. - Collaborate with business and technical teams to translate requirements into AI-driven solutions. - Lead AI platform selection, architecture reviews, and technical decision-making. - Drive AI integration with enterprise applications and cloud platforms. - Mentor engineering teams and provide architectural leadership. Required Skills & Experience - 12+ years of overall IT experience with at least 5 years in AI/ML architecture. - Strong expertise in Enterprise AI Architecture and Solution Design. - Hands-on experience with Generative AI, Agentic AI, LLMs, RAG, and Multi-Agent Systems. - Experience with Lang Chain, Lang Graph, or similar AI orchestration frameworks. - Strong knowledge of AI/ML data pipelines, model lifecycle, and MLOps. - Experience with one or more cloud AI platforms (Azure, AWS, or GCP). - Strong programming skills in Python and experience with APIs and microservices. - Excellent stakeholder management and communication skills. Nice to Have - Experience delivering AI solutions within the Real Estate or Prop Tech domain. - Exposure to AI use cases such as property search, intelligent customer assistants, document automation, valuation models, leasing, sales analytics, or predictive insights. - Experience leading enterprise AI transformation initiatives. - Cloud or AI certifications are an advantage.

Contract 0 to 0 years

Simulation Engineer

On-site - UAE - Abu Dhabi Emirate 20 July 2026

Other

About Us Are you ready to shape how cutting-edge technologies are positioned, understood, and adopted by real markets? At Venture One, we build ventures and commercialize breakthrough technologies emerging from advanced research. Our focus spans Aerospace and Space, Security and Defense, Sustainability, Environment and Energy, and Transportation, with technologies across Cryptography, Secure Systems, Directed Energy, Advanced Materials, Autonomous Systems, and more. About The Role We are seeking a Simulation Engineer to support and enhance our digital manufacturing ecosystem by developing and maintaining Digital Twins and Process Simulations. This role focuses on leveraging tools such as Visual Components, DELMIA, and NVIDIA Omniverse to simulate, validate, and optimize production systems. The ideal candidate will work at the intersection of manufacturing, automation, and data systems, enabling virtual commissioning, performance optimization, and scalable Industry 4.0 solutions across the factory. Key Responsibilities Develop and maintain 3D Digital Twins and Process Twins for manufacturing lines, cells, and factory layouts Build and run simulations using Visual Components, DELMIA, or equivalent platforms Perform cycle time analysis, throughput optimization, and bottleneck identification Support virtual commissioning of automation systems prior to physical deployment Simulate and validate robotic operations (reachability, collision detection, path optimization) Design and optimize factory layouts, material flow, and logistics systems (AGVs, conveyors, ASRS, OHT) Integrate simulation models with MES, SCADA, PLC, and IIoT platforms Utilize real-time and historical data for predictive and scenario-based simulations Collaborate with cross-functional teams including manufacturing, automation, and IT Contribute to continuous improvement and digital transformation initiatives Minimum Qualifications Bachelor’s degree in Mechanical Engineering, Mechatronics, Robotics, or related field 5+ years of experience in manufacturing simulation or industrial engineering Hands-on experience with Visual Components, DELMIA, or similar simulation tools Strong understanding of manufacturing processes (CNC, assembly, material handling) Basic knowledge of industrial automation systems (PLC, SCADA) Experience with 3D modeling and CAD tools (Solid Works, CATIA, NX, etc.) Familiarity with data handling and basic scripting (Python or similar) Preferred Qualifications Experience in robot simulation and offline programming (ABB, KUKA, FANUC) Exposure to AI/ML applications in manufacturing or simulation Experience with virtual commissioning and lights-out manufacturing environments Strong analytical and problem-solving skills with a focus on process optimization Knowledge of MES systems (e.g., DELMIA Apriso) and ERP integration (SAP) Understanding of IIoT architectures (MQTT, OPC UA, Unified Namespace) Experience with NVIDIA Omniverse or high-fidelity digital twin platforms How To Apply Are you ready to embark on an exciting journey with Venture One? If you're a visionary with a passion for innovation, we want to hear from you. To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role. At Venture One, we believe that diverse perspectives drive innovation. We are committed to creating an inclusive and equal opportunity workplace. All qualified applicants will receive equal consideration for employment. Join us in shaping the future of business. Apply today and let's venture into a world of possibilities together!

Contract 0 to 0 years

Simulation Engineer

On-site - UAE - Abu Dhabi Emirate 20 July 2026

Other

About Us Are you ready to shape how cutting-edge technologies are positioned, understood, and adopted by real markets? At Venture One, we build ventures and commercialize breakthrough technologies emerging from advanced research. Our focus spans Aerospace and Space, Security and Defense, Sustainability, Environment and Energy, and Transportation, with technologies across Cryptography, Secure Systems, Directed Energy, Advanced Materials, Autonomous Systems, and more. About The Role We are seeking a Simulation Engineer to support and enhance our digital manufacturing ecosystem by developing and maintaining Digital Twins and Process Simulations. This role focuses on leveraging tools such as Visual Components, DELMIA, and NVIDIA Omniverse to simulate, validate, and optimize production systems. The ideal candidate will work at the intersection of manufacturing, automation, and data systems, enabling virtual commissioning, performance optimization, and scalable Industry 4.0 solutions across the factory. Key Responsibilities Develop and maintain 3D Digital Twins and Process Twins for manufacturing lines, cells, and factory layouts Build and run simulations using Visual Components, DELMIA, or equivalent platforms Perform cycle time analysis, throughput optimization, and bottleneck identification Support virtual commissioning of automation systems prior to physical deployment Simulate and validate robotic operations (reachability, collision detection, path optimization) Design and optimize factory layouts, material flow, and logistics systems (AGVs, conveyors, ASRS, OHT) Integrate simulation models with MES, SCADA, PLC, and IIoT platforms Utilize real-time and historical data for predictive and scenario-based simulations Collaborate with cross-functional teams including manufacturing, automation, and IT Contribute to continuous improvement and digital transformation initiatives Minimum Qualifications Bachelor’s degree in Mechanical Engineering, Mechatronics, Robotics, or related field 5+ years of experience in manufacturing simulation or industrial engineering Hands-on experience with Visual Components, DELMIA, or similar simulation tools Strong understanding of manufacturing processes (CNC, assembly, material handling) Basic knowledge of industrial automation systems (PLC, SCADA) Experience with 3D modeling and CAD tools (Solid Works, CATIA, NX, etc.) Familiarity with data handling and basic scripting (Python or similar) Preferred Qualifications Experience in robot simulation and offline programming (ABB, KUKA, FANUC) Exposure to AI/ML applications in manufacturing or simulation Experience with virtual commissioning and lights-out manufacturing environments Strong analytical and problem-solving skills with a focus on process optimization Knowledge of MES systems (e.g., DELMIA Apriso) and ERP integration (SAP) Understanding of IIoT architectures (MQTT, OPC UA, Unified Namespace) Experience with NVIDIA Omniverse or high-fidelity digital twin platforms How To Apply Are you ready to embark on an exciting journey with Venture One? If you're a visionary with a passion for innovation, we want to hear from you. To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role. At Venture One, we believe that diverse perspectives drive innovation. We are committed to creating an inclusive and equal opportunity workplace. All qualified applicants will receive equal consideration for employment. Join us in shaping the future of business. Apply today and let's venture into a world of possibilities together!

Full Time 0 to 0 years

Principal Security Engineer

On-site - UAE - Dubai 19 July 2026

Information Technology

About The Role What you will be doing: Work directly with product teams in building a security by design and by default mindset by defining a structured approach to security in line with the Application Security Program mandates Develop design patterns, and code guidelines that meet business security and system requirements in line with the risk assessments, policies, and procedures Be a thought leader and help the wider organization drive security solutions implementation in-alignment with other stakeholders Drive feature implementations in line with the architecture via designs, coding, reviews and tests. Perform Proof of Concept (POC) activities as necessary Lead Dev Sec Ops implementation through technology, process and human upskilling including SAST, DAST, SCA, and penetration test results in collaboration with the developers. Review current software security control measures and implement security enhancements for multiple cloud-based products Participate in vulnerability investigations and become an extended arm to the Security Operation team What You Have Master’s degree in computer science or cyber security, a related field or equivalent demonstrated experience and knowledge Minimum 7+ years of experience in engineering or software development or related fields. Minimum 5 years hands-on product security role either as an architect, penetration tester or security engineer in cloud and application Strong working knowledge of software technologies such as C/C++, Java, . Net, python, etc. Experience analyzing, using SAST, DAST, SCA and penetration tests. Azure cloud IOT and Operating system hardening using DISA STIGS and CIS benchmark Experience ins secure software development or at least knowledge in secure coding practices and application security test report interpretation for various coding languages and multiple cloud services Strong knowledge of secure software development lifecycle and practices including Agile methodologies for software development Understanding of security by design principles and architecture level security concepts Sound understanding and experience in implementing security public key Infrastructure (PKI)), Experience implementing OWASP Top10 application security guidelines in cloud-based web applications Experienced in generating, defining, and reviewing penetration test results through knowledge of standard methodologies and tools including environmental configuration definition, security analysis, threat modeling, and system security audits Knowledge of current and emerging security threats and techniques for exploiting security vulnerabilities Exposure to international privacy requirements & cross-industry trends Requirements We are looking for a Principal Product Security Engineer whom his primary responsibility will be to for design, build, test and implementing secure SDLC across the product development lifecycle. This role requires deep knowledge of building product security program from scratch which includes writing SOP, SWI, designing training for developers and gaining the trust of the product teams through hands-on engagement. A deep understanding of web-based secure code principles, and IOT security is a pre-requisite. Candidates should have experience in FDA and EU MDR submission process. About The Company At AMD, we are dedicated to safeguarding our client against cyber threats. We recognize the distinct requirements and vulnerabilities of each enterprise, which is why we offer tailor-made solutions to shield your data and assets effectively. Our collaborative approach involves working closely with clients to devise a holistic cybersecurity strategy that harmonizes with their specific business objectives.

Full Time 0 to 0 years

Software Engineer

On-site - UAE - Dubai 13 July 2026

Healthcare & Medical

Andromeda Cluster Software Engineer - AI Infrastructure Location North America Remote / San Francisco, CA Employment Type Full time Location Type Remote Department Engineering Overview Application Software Engineer - AI Infrastructure Location: North America Remote / San Francisco Full-Time About Andromeda Andromeda Cluster, founded by Nat Friedman and Daniel Gross, is on a mission to democratize access to cutting-edge AI infrastructure previously reserved for hyperscalers. What began with a single managed cluster has quickly evolved into a global platform, connecting leading AI labs, data centers, and cloud providers. Our orchestration layer seamlessly routes training and inference jobs across the world, unlocking flexibility and efficiency in one of the fastest-growing sectors on earth. Our long-term vision is to establish a global marketplace for AI compute—powering AGI with the same fluidity as world financial markets. We are scaling rapidly and seeking exceptional talent in AI infrastructure, research, and engineering. The Role As an Infrastructure Product Engineer, you will play a pivotal role in building the backbone of Andromeda’s platform. You'll transform complex, real-world infrastructure challenges into scalable product capabilities that benefit our customers. Positioned at the intersection of infrastructure and product engineering, this role is deeply technical and systems-oriented, yet laser-focused on building solutions with broad leverage. What You'll Do Design and develop core platform components, including infrastructure orchestration, provisioning, and lifecycle management solutions. Build robust APIs, services, and control planes that abstract over diverse infrastructure types (VMs, Kubernetes, bare metal, schedulers). Translate customer usage patterns into product requirements, delivering impactful features and improvements. Create automation and internal tooling to eliminate manual or ad-hoc operational work. Enhance reliability, performance, and observability at the platform level, emphasizing durable improvements over quick fixes. Collaborate with peer teams to define clear ownership boundaries between platform capabilities and customer-specific solutions. Write clean, maintainable, and well-documented code with a focus on long-term sustainability. Participate in technical design discussions and contribute to the architectural evolution of our platform. What We're Looking For 5+ years of experience in Infrastructure, Platform, or Backend Engineering roles. Strong systems fundamentals: deep understanding of Linux, networking, storage, and distributed systems. Proven expertise with Kubernetes, VMs, or bare-metal environments. Advanced software engineering skills; capable of building production-grade APIs and services (Python, Go, or similar). Extensive experience with infrastructure as code and automation tools (Terraform, Ansible, Helm, etc.). Demonstrated ability to navigate ambiguity and distill complex problems into clear, maintainable abstractions. Product-focused mindset: care about interfaces, defaults, reliability, and sustainable operations. Excellent written and verbal communication skills; effective collaborator across engineering and product functions. Nice To Have Hands-on experience with GPU or AI infrastructure. Experience with control-plane or orchestration systems. Background spanning both infrastructure and application/backend engineering. Experience architecting multi-tenant systems. Strong skills in technical writing and design documentation. Early-stage startup experience. Why You’ll Love It Here This is a true builder’s opportunity: you’ll have ownership and autonomy to shape our systems, engage directly with customers and providers, and lay the foundations for scalable, reliable AI infrastructure. Join us at Andromeda and help power the future of AI. Powered by Ashby Privacy Policy Security Vulnerability Disclosure

Full Time 0 to 0 years

Senior Solution Engineer

Remote - UAE - Dubai 13 July 2026

Information Technology

Introduction At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you’ll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact. Success in Global Sales is built on curiosity, empathy, and collaboration. You’ll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that’s passionate about driving innovation and making a difference. Your Role And Responsibilities About the Role: Solutions Engineers at Confluent drive not only the early-stage evaluation within the sales process, but also play a crucial role in enabling ongoing value-realization for customers, all while helping them move up the adoption maturity curve. In this role you’ll partner with Account Executives to be the key technical advisor in service of the customers. You’ll be instrumental in surfacing the customers’ stated or implicit Business Needs, and coming up with Technical Designs to best meet these needs. You may find yourself at times facilitating art of the possible discussions and storytelling to inspire customers in adopting new patterns with confidence, and at other times driving creative solutioning to help get past difficult technical roadblocks. Overall, we look upon Solutions Engineers to be a key cog within the Customer Success Team that help foster an environment of sustained success for the customer and incremental adoption of Confluent’s Technology. What You Will Do Help advance new & innovative Data Streaming use-cases from conception to Go-Live Execute on and lead Technical Proofs of Concept Conduct Discovery & Whiteboard Sessions to develop new use-cases Provide Thought Leadership by delivering Technical Talks and Workshops Guide customers with hands-on help and best practice to drive operational maturity of their Confluent Deployment Analyze Customer Consumption trends and identify Optimization opportunities Work closely with Product and Engineering teams, and serve as a key Product advocate across the Customer, Partner and Industry ecosystem Forge strong relationships with key customer stakeholders and serve as a dependable partner for them Required Technical And Professional Expertise 5+ years of Solutions Engineering or similar work experience Experience with Event-Driven architecture, Data Integration & Processing Techniques, Database & Data Warehouse technologies First-Hand exposure to Cloud Architecture, Migrations, Deployment & Application Development Experience with Automation, Git Ops and Kubernetes Proficiency in Java, Python or SQLTechnical certifications - Cloud Developer/Architect, Data Engineering & Integration Clear, consistent demonstration of self-starter behavior, a desire to learn new things and tackle hard technical problems Exceptional presentation and communications capabilities. Confidence presenting to a highly skilled and experienced audience, ranging from developers to enterprise architects and up to C-level executives Knowledge around event driven systems, Kafka and Flink Preferred Technical And Professional Experience Fluency in Arabic and English

Full Time 0 to 0 years

Software Engineer

On-site - UAE - Dubai 12 July 2026

Healthcare & Medical

Andromeda Cluster Software Engineer - AI Infrastructure Location North America Remote / San Francisco, CA Employment Type Full time Location Type Remote Department Engineering Overview Application Software Engineer - AI Infrastructure Location: North America Remote / San Francisco Full-Time About Andromeda Andromeda Cluster, founded by Nat Friedman and Daniel Gross, is on a mission to democratize access to cutting-edge AI infrastructure previously reserved for hyperscalers. What began with a single managed cluster has quickly evolved into a global platform, connecting leading AI labs, data centers, and cloud providers. Our orchestration layer seamlessly routes training and inference jobs across the world, unlocking flexibility and efficiency in one of the fastest-growing sectors on earth. Our long-term vision is to establish a global marketplace for AI compute—powering AGI with the same fluidity as world financial markets. We are scaling rapidly and seeking exceptional talent in AI infrastructure, research, and engineering. The Role As an Infrastructure Product Engineer, you will play a pivotal role in building the backbone of Andromeda’s platform. You'll transform complex, real-world infrastructure challenges into scalable product capabilities that benefit our customers. Positioned at the intersection of infrastructure and product engineering, this role is deeply technical and systems-oriented, yet laser-focused on building solutions with broad leverage. What You'll Do Design and develop core platform components, including infrastructure orchestration, provisioning, and lifecycle management solutions. Build robust APIs, services, and control planes that abstract over diverse infrastructure types (VMs, Kubernetes, bare metal, schedulers). Translate customer usage patterns into product requirements, delivering impactful features and improvements. Create automation and internal tooling to eliminate manual or ad-hoc operational work. Enhance reliability, performance, and observability at the platform level, emphasizing durable improvements over quick fixes. Collaborate with peer teams to define clear ownership boundaries between platform capabilities and customer-specific solutions. Write clean, maintainable, and well-documented code with a focus on long-term sustainability. Participate in technical design discussions and contribute to the architectural evolution of our platform. What We're Looking For 5+ years of experience in Infrastructure, Platform, or Backend Engineering roles. Strong systems fundamentals: deep understanding of Linux, networking, storage, and distributed systems. Proven expertise with Kubernetes, VMs, or bare-metal environments. Advanced software engineering skills; capable of building production-grade APIs and services (Python, Go, or similar). Extensive experience with infrastructure as code and automation tools (Terraform, Ansible, Helm, etc.). Demonstrated ability to navigate ambiguity and distill complex problems into clear, maintainable abstractions. Product-focused mindset: care about interfaces, defaults, reliability, and sustainable operations. Excellent written and verbal communication skills; effective collaborator across engineering and product functions. Nice To Have Hands-on experience with GPU or AI infrastructure. Experience with control-plane or orchestration systems. Background spanning both infrastructure and application/backend engineering. Experience architecting multi-tenant systems. Strong skills in technical writing and design documentation. Early-stage startup experience. Why You’ll Love It Here This is a true builder’s opportunity: you’ll have ownership and autonomy to shape our systems, engage directly with customers and providers, and lay the foundations for scalable, reliable AI infrastructure. Join us at Andromeda and help power the future of AI. Powered by Ashby Privacy Policy Security Vulnerability Disclosure

Contract 0 to 0 years

Senior Cloud, DevOps, or Platform Engineer

Remote - UAE - Dubai 12 July 2026

Information Technology

Job Title: Senior Cloud, Dev Ops, or Platform Engineer — Remote Work Mode: Fully Remote Schedule: Flexible (up to 40 hours per week, based on project availability) Role Overview:We are looking for Senior Dev Ops Engineers to join a paid remote AI training program focused on Infrastructure as Code (IaC). In this role, you will write realistic engineering-ticket-style prompts, configure Local Stack sandboxes, and build golden solutions with passing end-to-end tests to help AI models master Terraform, AWS CDK, and Cloud Formation. This is a flexible, remote opportunity well-suited for senior-level Dev Ops, Cloud, or Infrastructure engineers seeking project-based, asynchronous work. Key Responsibilities Task Creation: Write natural language prompts that read like real engineering tickets, including realistic ambiguity and professional context, so AI can handle real-world scenarios. Environment Configuration: Set up and configure Local Stack sandboxes (local AWS mocks) to validate infrastructure tasks Golden Solution Development: Craft the initial infrastructure state and a "golden solution" that includes passing automated end-to-end tests Quality Benchmarking: Ensure tasks meet a high quality bar; simple or poorly formatted tasks will be rejected. Response Evaluation: Choose the correct response between two AI-generated answers to a given infrastructure question Prompt Writing: Draft simple prompts that act as a starting point for AI models to build upon Qualifications Seniority: Must be a Senior-level practitioner in Dev Ops, Cloud, or Infrastructure Engineering IaC Platform Expertise: Professional, hands-on experience with at least one of the following — High Priority: AWS CDK, Terraform (HCL), or Cloud Formation; Medium/Low Priority: Pulumi, Azure RM, Ansible, Chef, or Puppet Programming Languages: Strong proficiency in at least one of the following for infrastructure scripting and testing: Type Script, Python, Java Script, or Java Communication: Ability to articulate complex technical concepts fluently in written English, following strict style guidelines Eligibility Requirements Candidates must be legally authorised to work in one of the following locations: Argentina, Australia, Austria, Belgium, Brazil, Canada, Colombia, Denmark, Finland, France, Germany, India, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Peru, Puerto Rico, Singapore, Spain, Sweden, Switzerland, United Arab Emirates, United Kingdom, United States Compensation Earn up to $50 USD/hr — plus additional incentives; rates vary based on expertise and project requirements Paid via Pay Pal and Air TM Work Arrangement Fully remote; choose your own schedule Flexible workload depending on project availability, most experts spend 5–10 hrs/week, up to 40 hours Free access to leading AI tools (GPT, Claude, and more) worth over $200/month included at no extra cost Equal Opportunity Statement Selection decisions are based solely on skills, qualifications, and project requirements. We are committed to inclusive and fair engagement practices and consider all qualified applicants without regard to legally protected characteristics. Ready to put your infrastructure expertise to work on AI? Apply now — interviews begin within days of application.

Full Time 0 to 0 years

AI Engineer

On-site - UAE - Abu Dhabi Emirate 1 July 2026

Information Technology

???? Hiring: AI Engineer ???? Location: Abu Dhabi, UAE We are looking for an experienced AI Engineer to design, develop, and deploy scalable AI solutions for enterprise applications. This role combines AI/ML engineering, data engineering, and modern software development to build intelligent, production-ready systems powered by large language models and advanced AI technologies. ???? Key Responsibilities • Strong data-engineering foundation — data pipelines, ETL / ELT & data modelling • Big-data & streaming (Spark, Kafka, Airflow); data lakehouse/warehouse (Databricks, Snowflake) • Python (Fast API), Node.js • Agentic AI systems (LLMs, Agents, Tool Calling, Multi-Agent Orchestration) • RAG, Knowledge Graphs & Vector Databases (Qdrant, Milvus, FAISS) • AI workflow orchestration & event-driven architectures • AI/ML model deployment & inference optimization • REST APIs, microservices & distributed systems • Integration of AI services with enterprise applications and data platforms ????Languages: · English . Excellent communication, verbal and written skills. Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you !!! About KLANIK:Klanik is an IT consulting company providing solutions to some of the world’s largest industrial and services groups for 14 years. We support our clients with the creation and development of their new products and services around 4 main business lines: ➜ Information Technology and Systems (IT & IS)➜ Dev Ops and Cloud➜ Big Data and AI➜ Cybersecurity Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, Middle East and the Americas. Our Team is dedicated to offer our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values. We’re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact! Being a “KLANIK”That means being an out of the box thinker, a precursor who is keen to create, innovate and collaborate in an environment where you can enjoy being yourself and valued for your ideas. It’s being part of a community of experts that have a passion for and stay abreast of the latest technologies. You feel like a technology pioneer, full of creative ideas, supported by a strong know how and expertise in the latest technologies? We believe you could be a good fit to our culture! Our culture is our pride At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect and transparency are deeply fixed in our culture, alongside with the pride in a job well done. Our community motto is that people give the best of them when they feel listened, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors. Being part of the Klanik community means relying on each other, learning from each other’s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.

Full Time 0 to 0 years LinkedIn

Software Engineer - Security

On-site - UAE - Abu Dhabi Emirate 22 June 2026

Human Resources

Role Purpose The Software Engineer is responsible for ensuring the secure and timely deployment of patches and updates across mission-critical banking platforms. The role focuses on automating regression testing, remediating application and API vulnerabilities, and embedding security validation into CI/CD pipelines to enable safe and stable releases. This position plays a key role in maintaining application security, system stability, and compliance, while supporting continuous delivery in a fast-paced banking environment. Key Responsibilities Secure Patch Deployment & Release Management Plan and execute timely deployment of security patches across:Core banking platforms Corporate banking systems Consumer and digital banking applications Ensure minimal disruption and high system stability during releases Prepare and maintain:Release notes Impact assessments Rollback plans Automated Regression Testing Develop and maintain automated regression test suites for critical applications Validate patches and updates prior to release to ensure:No functional regressions System performance stability Integrate automated testing into CI/CD pipelines Vulnerability Remediation & Secure Coding Identify and remediate vulnerabilities aligned with:OWASP Top 10 OWASP API Security Top 10 Fix security defects identified through:SAST / DAST / SCA tools Internal and external security assessments Collaborate with development teams to enforce secure coding standards CI/CD Integration & Dev Sec Ops Practices Integrate security validation checks into CI/CD pipelines:Automated patch validation Security testing gates Work closely with Dev Ops teams to ensure:Seamless build and deployment processes Secure release pipelines Support implementation of Dev Sec Ops best practices Collaboration & Cross-Functional Support Work with:Application development teams Dev Ops / infrastructure teams Cybersecurity teams Provide technical support for:Patch-related issues Production incidents related to releases Ensure alignment between development, testing, and security functions Compliance & Documentation Ensure all releases comply with:Internal security policies Banking regulatory requirements Maintain documentation for:Patch deployments Test results Security validations Support audit and compliance reviews Qualifications & Experience Education Bachelor’s degree in:Computer Science Software Engineering Information Technology or related field Experience 5–8 years of experience in:Software engineering or application support Release management and patch deployment Experience working with:Enterprise-scale applications Banking or regulated environments (preferred) Technical Skills Strong knowledge of:Software development lifecycle (SDLC) CI/CD tools (e.g., Jenkins, Git Hub Actions, Azure Dev Ops) Experience with:Automated testing frameworks API development and security practices Familiarity with:Security testing tools (SAST, DAST, SCA) OWASP Top 10 & API Security Top 10 Proficiency in:Programming/scripting (Java, Python, or similar) Soft Skills Strong problem-solving and debugging skills Attention to detail and quality focus Ability to work in high-pressure, production-critical environments Effective communication and teamwork Key Competencies Secure Software Development Patch Management & Release Engineering Automated Testing & Quality Assurance Dev Sec Ops Practices Vulnerability Remediation Risk & Compliance Awareness Ideal Candidate Profile Engineer with strong experience in application maintenance and secure releases Hands-on in automated testing and CI/CD integration Familiar with security best practices and vulnerability remediation Experience working on enterprise banking platforms or mission-critical systems Ability to balance speed of delivery with system stability and security Software Engineer - Security in Abu Dhabi, United Arab Emirates

0 to 0 years Bayt

Credit Analyst

On-site - UAE 13 June 2026

Accounting, Finance & Banking

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the role:We are seeking a highly motivated, proactive, and commercially minded Senior Credit Analyst to take a leading role within our Credit team. This position is central to enhancing our credit risk management capabilities. The successful candidate will be responsible for leading sophisticated credit analytics, driving deep portfolio insights, and playing a pivotal role in the development and refinement of our overarching credit strategy and policy framework. The Senior Credit Analyst will be instrumental in safeguarding the quality of the credit portfolio while identifying opportunities for commercially sound growth. &nbsp; Key responsibilities:<ul><li>Lead analysis of consumer credit portfolios, identifying key risk drivers and performance trends</li><li>Design, optimize, and oversee complex SQL queries and analytical workflows</li><li>Translate data insights into actionable recommendations for underwriting strategy and credit policy</li><li>Develop, refine, and validate credit rules, scorecards, and segmentation strategies</li><li>Monitor portfolio health (delinquency, default, loss, and vintage performance) and recommend proactive actions</li><li>Partner with senior stakeholders across stakeholders&nbsp; to influence decision-making</li><li>Drive improvements in data processes, reporting automation, and analytical frameworks</li></ul>Qualifications and Experience:<ul><li>Bachelor’s degree in Finance, Economics, Statistics, Data Science, or a related field</li><li>4–7+ years of experience in credit risk, analytics, or lending environments</li><li>Strong understanding of credit risk modeling, portfolio analytics, and policy design</li><li>Advanced SQL proficiency and experience working with large datasets</li><li>Proven ability to independently manage analytical projects and influence outcomes</li><li>Strong communication and stakeholder management skills</li><li>Professional proficiency in English</li></ul>Preferred Qualifications:<ul><li>Experience in fintech or digital lending environments</li><li>Proficiency in Python or R for data analysis or modeling</li><li>Experience with credit scorecards or risk model development</li><li>Familiarity with regulatory frameworks in consumer lending</li><li>French language skills (beneficial)</li></ul>The ideal candidate is someone who:<ul><li>Driving measurable improvements in portfolio performance and risk management</li><li>Influencing credit strategy through data-driven insights</li><li>Delivering high-quality, scalable analytical solutions</li><li>Elevating team capability through mentorship and process improvements</li><li>Acting as a trusted advisor to business stakeholders</li></ul>&nbsp; Company overview:Ezra provides B2B digital lending solutions for emerging markets in partnership with mobile and digital wallet operators and financial service providers. Ezra supports 24 operations in 23 countries, across Africa, the Middle East and Asia. Our key office locations are in Nairobi, Kenya and Dubai, UAE.&nbsp; Our flagship products are Airtime Credit Services (ACS), Nano and BNPL.&nbsp; <ul><li>ACS is an airtime or data advance offered to prepaid mobile subscribers at the point of low credit.&nbsp;</li><li>Nano is a micro cash advance offered to mobile wallet users on demand.&nbsp;</li><li>BNPL facilitates payment installments for products and services&nbsp;</li></ul>As a FinTech company, our business is entirely technology and data driven, from determining subscriber eligibility, generating relevant offers, managing risk, loan issuance, recovery, optimizing performance and reporting, reconciliation and billing.&nbsp; Each day we process approximately 21M loan requests and 1.4 TB of data across our markets. This process needs to be robust, reliable and secure.&nbsp; But it doesn’t end there. We’re exploring new ways of using our platform and transactional data to improve our products and develop new product opportunities. </div>

Full Time 0 to 0 years

Technical Co-Founder

On-site - UAE - Dubai 9 June 2026

Information Technology

ROLE : Chief Architect of Intelligence Role Summary We're a stealth-stage startup building a dual-sided, event-driven Saa S platform in one of the fastest-scaling B2B verticals in the GCC. The platform sits at the intersection of real-time data orchestration, LLM-powered decision engines, and multi-tenant financial computation. This role is pure technical ownership architecture, stack, infrastructure, and team are yours to define and build from Day 1. RESPONSIBILITIES â€¢ Design and ship a multi-tenant Saa S architecture with row-level data isolation, RBAC, and column-level PII encryption compliant with UAE PDPL and regional data residency requirementsâ€¢ Build and own a bi-directional event-driven sync layer sub-5s propagation, 1,000+ events/second throughput, with failure recovery and event replay logicâ€¢ Engineer a configurable financial computation engine waterfall logic, retroactive recalculation across open records, VAT handling, and a fully auditable immutable transaction ledgerâ€¢ Integrate and productionise multiple LLM pipelines context-aware prompt engineering, batch generation jobs, streaming responses, and session-scoped inference across thousands of concurrent usersâ€¢ Architect a third-party messaging API integration layer designed for platform-dependency abstraction and graceful fallbackâ€¢ Build the engineering function from 0 hiring, code standards, CI/CD, and technical roadmap ownership post-funding QUALIFICATIONS Must-have:â€¢ Problem solving mindsetâ€¢ Production experience with multi-tenant B2B Saa S, you've owned the data isolation layer, not just worked near itâ€¢ Strong backend in Node.js/Type Script or Python (Fast API/Django)â€¢ Postgre SQL at depth RLS, indexing strategy, schema design for high-write workloadsâ€¢ Redis for caching and real-time state managementâ€¢ Event-driven architecture message queues (Bull MQ, SQS, or Kafka), pub/sub patterns, idempotent consumersâ€¢ LLM API integration in a shipped product (Open AI, Anthropic, or equivalent)â€¢ PWA or React/Next.js frontend with offline-first capability Nice-to-have:â€¢ Messaging platform API integration (webhook handling, template management, delivery state machines)â€¢ Cloud infrastructure on AWS me-south-1 or UAE North regionsâ€¢ Experience building financial or commission calculation engines with audit trail requirementsâ€¢ Prior co-founder or founding engineer experience at an early-stage startup Compensation & Benefits â€¢ Equity: 40-50% | 4-year vest | 1-year cliff | double-trigger accelerationâ€¢ Salary: AED 5,000â€“10,000/month pre-funding â†’ AED 35,000â€“50,000/month post-seedâ€¢ Perks: Full architectural ownership, clean-slate V2 build, comprehensive domain and functional documentation from Day 1, and a business co-founder who handles GTM, partnerships, and fundraising entirely Company Culture Small team. No layers. We document everything and move fast. Technical decisions are yours we don't have opinions on your stack, your schema, or your deployment strategy. We do have high standards for reliability, auditability, and user trust. If you want a role where your architectural decisions compound directly into company value and where the market you're building for is genuinely underserved this is the right conversation. Dubai-based or relocating | Co-founder, not employee | Apply with Git Hub or something you've shipped #Technical CoFounder #Software Engineering #Dubai #Saa S #Backend Engineering #LLM #Event Driven Architecture #UAEStartup #CoFounder #AIEngineering #Fintech #Multi Tenant Saa S

Full Time 0 to 0 years

Technical Co-Founder

On-site - UAE - Dubai 9 June 2026

Information Technology

ROLE : Chief Architect of Intelligence Role Summary We're a stealth-stage startup building a dual-sided, event-driven Saa S platform in one of the fastest-scaling B2B verticals in the GCC. The platform sits at the intersection of real-time data orchestration, LLM-powered decision engines, and multi-tenant financial computation. This role is pure technical ownership architecture, stack, infrastructure, and team are yours to define and build from Day 1. RESPONSIBILITIES â€¢ Design and ship a multi-tenant Saa S architecture with row-level data isolation, RBAC, and column-level PII encryption compliant with UAE PDPL and regional data residency requirementsâ€¢ Build and own a bi-directional event-driven sync layer sub-5s propagation, 1,000+ events/second throughput, with failure recovery and event replay logicâ€¢ Engineer a configurable financial computation engine waterfall logic, retroactive recalculation across open records, VAT handling, and a fully auditable immutable transaction ledgerâ€¢ Integrate and productionise multiple LLM pipelines context-aware prompt engineering, batch generation jobs, streaming responses, and session-scoped inference across thousands of concurrent usersâ€¢ Architect a third-party messaging API integration layer designed for platform-dependency abstraction and graceful fallbackâ€¢ Build the engineering function from 0 hiring, code standards, CI/CD, and technical roadmap ownership post-funding QUALIFICATIONS Must-have:â€¢ Problem solving mindsetâ€¢ Production experience with multi-tenant B2B Saa S, you've owned the data isolation layer, not just worked near itâ€¢ Strong backend in Node.js/Type Script or Python (Fast API/Django)â€¢ Postgre SQL at depth RLS, indexing strategy, schema design for high-write workloadsâ€¢ Redis for caching and real-time state managementâ€¢ Event-driven architecture message queues (Bull MQ, SQS, or Kafka), pub/sub patterns, idempotent consumersâ€¢ LLM API integration in a shipped product (Open AI, Anthropic, or equivalent)â€¢ PWA or React/Next.js frontend with offline-first capability Nice-to-have:â€¢ Messaging platform API integration (webhook handling, template management, delivery state machines)â€¢ Cloud infrastructure on AWS me-south-1 or UAE North regionsâ€¢ Experience building financial or commission calculation engines with audit trail requirementsâ€¢ Prior co-founder or founding engineer experience at an early-stage startup Compensation & Benefits â€¢ Equity: 40-50% | 4-year vest | 1-year cliff | double-trigger accelerationâ€¢ Salary: AED 5,000â€“10,000/month pre-funding â†’ AED 35,000â€“50,000/month post-seedâ€¢ Perks: Full architectural ownership, clean-slate V2 build, comprehensive domain and functional documentation from Day 1, and a business co-founder who handles GTM, partnerships, and fundraising entirely Company Culture Small team. No layers. We document everything and move fast. Technical decisions are yours we don't have opinions on your stack, your schema, or your deployment strategy. We do have high standards for reliability, auditability, and user trust. If you want a role where your architectural decisions compound directly into company value and where the market you're building for is genuinely underserved this is the right conversation. Dubai-based or relocating | Co-founder, not employee | Apply with Git Hub or something you've shipped #Technical CoFounder #Software Engineering #Dubai #Saa S #Backend Engineering #LLM #Event Driven Architecture #UAEStartup #CoFounder #AIEngineering #Fintech #Multi Tenant Saa S

0 to 0 years Bayt

Senior Data Engineer

On-site - UAE 6 June 2026

Other

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Location: Onsite – Abu Dhabi, UAE Employment Type: Full-Time, PermanentJob SummaryWe are seeking an experienced Senior Data Engineer with 8–10+ years of experience in designing, developing, and managing modern data platforms, data pipelines, and cloud-based analytics solutions. The ideal candidate will have strong expertise in Azure Data Services, large-scale data processing, data warehousing, ETL/ELT frameworks, and cloud-native data architectures. The role requires hands-on experience in building scalable, secure, and high-performance data solutions that support enterprise analytics, reporting, AI, and business intelligence initiatives. Key Responsibilities<ul><li>Design, develop, and maintain scalable data platforms and data pipelines on Microsoft Azure.</li><li>Build and optimize batch and real-time data ingestion frameworks from multiple structured and unstructured data sources.</li><li>Design and implement data lake, data warehouse, and lakehouse architectures to support analytics and reporting workloads.</li><li>Develop and manage ETL/ELT processes using modern cloud-native data engineering practices.</li><li>Implement data transformation, cleansing, validation, and quality frameworks to ensure data accuracy and reliability.</li><li>Collaborate with business stakeholders, data analysts, data scientists, and application teams to understand data requirements and deliver scalable solutions.</li><li>Optimize data storage, processing, and query performance across enterprise data platforms.</li><li>Implement security, governance, monitoring, and compliance best practices across Azure environments.</li><li>Support integration of data platforms with AI/ML, business intelligence, and enterprise applications.</li><li>Participate in architecture reviews, code reviews, troubleshooting, and technical mentoring activities.</li><li>Ensure high availability, scalability, and operational excellence of data platforms and pipelines.</li></ul>Required Skills & Qualifications<ul><li>8–10+ years of experience in Data Engineering, Data Warehousing, and Enterprise Data Platform development.</li><li>Strong hands-on experience with Microsoft Azure Data Services.</li><li>Expertise in Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), and Azure SQL Database.</li><li>Experience building and managing large-scale ETL/ELT pipelines and data integration solutions.</li><li>Strong proficiency in SQL, query optimization, and database performance tuning.</li><li>Hands-on experience with PySpark, Apache Spark, and distributed data processing frameworks.</li><li>Strong programming skills in Python, Scala, or Java.</li><li>Experience with dimensional modeling, data warehousing concepts, and modern lakehouse architectures.</li><li>Experience working with structured, semi-structured, and unstructured data.</li><li>Strong understanding of data governance, data quality, metadata management, and security best practices.</li><li>Experience with REST APIs, data integration patterns, and enterprise system connectivity.</li><li>Hands-on experience with Git, CI/CD pipelines, and DevOps practices.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>Preferred Qualifications<ul><li>Experience with Microsoft Fabric, OneLake, Dataflows, and Fabric Data Engineering workloads.</li><li>Experience with Databricks, Delta Lake, and lakehouse implementations.</li><li>Knowledge of real-time streaming technologies such as Azure Event Hubs, Apache Kafka, or Azure Stream Analytics.</li><li>Experience supporting AI/ML and advanced analytics workloads through enterprise data platforms.</li><li>Familiarity with Power BI datasets, semantic models, and enterprise reporting architectures.</li><li>Experience with data governance tools such as Microsoft Purview.</li><li>Microsoft Azure Data Engineering certifications are highly preferred.</li><li>Experience working in Agile/Scrum environments.</li></ul>Nice to Have<ul><li>Experience with Microsoft Fabric Data Engineering and Analytics solutions.</li><li>Exposure to MLOps and DataOps practices.</li><li>Knowledge of containerization technologies such as Docker and Kubernetes.</li><li>Experience with Infrastructure as Code (Terraform, ARM Templates, or Bicep).</li><li>Familiarity with Snowflake, BigQuery, or other cloud data warehouse platforms.</li><li>Experience with enterprise-scale data migration and modernization projects.</li><li>Understanding of Generative AI, Vector Databases, and data platforms supporting AI workloads.</li></ul> </div>

0 to 0 years Bayt

Senior Systems Engineer

On-site - UAE 1 June 2026

Telecom & Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description VAM Systems is currently looking for Senior Systems Engineer (Cloud & Infrastructure) for our UAE operations with the following terms and conditions:   Role Summary: We are looking for a highly capable, hands-on Senior Systems Engineer with deep expertise in AWS cloud architecture and operations, combined with strong foundations in enterprise infrastructure, systems, and automation. Must-Have Requirements (Non-Negotiable) 7–10+ years in Systems / Infrastructure Engineering AWS certifications (Solutions Architect Professional preferred) Strong, hands-on AWS experience (this is critical) Not theoretical — must have built and operated real environments Deep understanding of: Networking fundamentals (L3/L4/L7) Security and identity Operating systems (Linux + Windows) Proven experience in automation Experience in hybrid environments Strong troubleshooting ability across multiple layers  Nice to Have (But Very Valuable) Experience with Kubernetes Exposure to media, OTT, or high-traffic platforms  Database experience (strong advantage): Hands-on experience with Oracle Database administration Familiarity with: Oracle RAC, Data Guard, RMAN backups Performance tuning and query optimization Experience with cloud databases: AWS RDS (including Oracle, MySQL, PostgreSQL) Aurora (MySQL/PostgreSQL) Understanding of: High availability and DR for databases Backup, recovery, and replication strategies  Key Responsibilities 1. AWS Cloud Ownership (Core Requirement) Architect, deploy, and manage production-grade AWS environments Design secure, scalable, and cost-optimized solutions across: EC2, S3, EBS, EFS VPC, Transit Gateway, VPN, Direct Connect RDS, DynamoDB, Aurora IAM, Organizations, Control Tower CloudFront, Route 53 Lambda, API Gateway Implement high availability, DR, and backup strategies (multi-AZ, multi-region) Lead AWS cost optimization Troubleshoot complex AWS issues across compute, network, storage, and security layers  2. Infrastructure & Systems Engineering Manage and optimize Windows & Linux environments Design and maintain: Active Directory / Entra ID (Azure AD) DNS, DHCP, Group Policies Virtualization experience (VMware / Nutanix) Storage systems (SAN/NAS, backup solutions like Rubrik) Build resilient hybrid environments (on-prem + cloud)  3. Automation & Infrastructure as Code Build and maintain infrastructure Develop automation scripts using: Python / Bash / PowerShell Drive zero-touch provisioning and configuration management Eliminate manual operational tasks  4. Security & Compliance Implement cloud security best practices: IAM least privilege Network segmentation Encryption at rest and in transit Work closely with security teams on: Vulnerability remediation Compliance (ISO, NIST, etc.) Hands-on with tools like: AWS Security Hub, GuardDuty, WAF, Shield  5. Monitoring, Reliability & Performance Implement full-stack monitoring Define SLAs, SLOs, and alerts Lead incident response and root cause analysis (RCA) Optimize system performance and uptime  6. DevOps & Platform Engineering Work with Dev teams to enable: CI/CD pipelines (GitHub Actions, GitLab, Jenkins) Containerization: Docker, Kubernetes (EKS preferred) Support application deployments and platform stability  7. Leadership & Ownership Act as technical lead for infrastructure decisions Mentor junior engineers Challenge weak designs and propose better alternatives Takes full ownership and not “that’s not my job” mindset  Joining time frame: (15 - 30 days)     </div>

0 to 0 years Bayt

Cloud Security & SIEM Engineer (SOC)

On-site - UAE 6 August 2026

Telecom & Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description – Cloud Security & SIEM Engineer (SOC) Job Title: Cloud Security & SIEM Engineer Department: Security Operations Centre (SOC) Location: Dubai, UAE Employment Type: Permanent, Full-Time Work Arrangement: Onsite Experience Required: 3–8 years (Mid-Level) Joining Date: Immediate joiners preferred Role Summary We are seeking a skilled Cloud Security & SIEM Engineer to join our client’s Security Operations Centre in Dubai. The successful candidate will be responsible for securing cloud environments, integrating cloud security telemetry with SIEM platforms, monitoring cloud activity, investigating security events, and automating security operations. The role requires hands-on experience across AWS, Microsoft Azure, or Google Cloud Platform, along with strong knowledge of SIEM integration, cloud-native logging, identity and access management, network security, and security automation. The ideal candidate should be able to translate cloud activity into actionable security monitoring, detection, investigation, and response capabilities. Key Responsibilities Cloud Security Operations Monitor and protect workloads and services hosted across AWS, Microsoft Azure, and Google Cloud Platform. Apply cloud security principles across IaaS, PaaS, and SaaS environments. Understand and implement security controls based on the shared responsibility model of each cloud provider. Identify cloud security misconfigurations, excessive permissions, insecure network exposure, and other security risks. Support the implementation and continuous improvement of cloud security standards, controls, and operational procedures. Assist with cloud security assessments, risk reviews, and remediation activities. Identity and Access Management Implement and review role-based access control and least-privilege access models. Monitor privileged accounts, service accounts, authentication activities, and permission changes. Support the enforcement of multi-factor authentication and conditional access controls. Investigate suspicious authentication attempts, privilege escalation, compromised identities, and unauthorised access. Conduct periodic reviews of cloud roles, permissions, and access policies. Cloud Network Security Monitor and secure cloud networks, including VPCs, virtual networks, subnets, security groups, firewalls, routing rules, and network access controls. Review VPC and virtual network flow logs to identify suspicious or unauthorised network activity. Support cloud network segmentation and Zero Trust security initiatives. Assist in securing connectivity between cloud, on-premises, and hybrid environments. Investigate network-based threats, anomalous traffic, unauthorised connections, and exposed cloud resources. SIEM Integration and Monitoring Integrate cloud services and security telemetry with SIEM platforms such as: Securonix Microsoft Sentinel Splunk IBM QRadar Elastic SIEM Configure and maintain cloud-native connectors, API-based integrations, and agent-based log ingestion. Onboard, validate, normalise, and troubleshoot cloud log sources. Develop and optimise detection rules, correlation rules, dashboards, alerts, reports, and investigation queries. Ensure that cloud security logs are accurately collected, parsed, classified, enriched, and retained. Monitor ingestion failures, data gaps, parsing issues, and abnormal log-volume changes. Cloud Logging and Analysis Configure and monitor AWS CloudWatch, AWS CloudTrail, Azure Monitor, Azure Activity Logs, and related cloud-native logging services. Collect and analyse security-relevant logs, including: API and administrative activity Authentication and access logs VPC and network flow logs DNS logs Firewall and security-group logs Audit and configuration-change logs Container and orchestration logs AKS, EKS, and ECS logs Conduct log parsing, field extraction, event classification, filtering, masking, and enrichment. Identify unusual activity and behavioural anomalies using SIEM analytics and cloud-native monitoring tools. Maintain adequate logging coverage to support security monitoring, investigations, and audit requirements. Security Incident Detection and Response Monitor and triage cloud security alerts generated by SIEM and cloud-native security platforms. Investigate suspicious activity, compromised identities, unauthorised access, cloud configuration changes, and potential data exposure. Determine the severity, scope, business impact, and root cause of cloud security incidents. Escalate confirmed incidents in accordance with SOC procedures and response timelines. Support containment, remediation, recovery, and post-incident review activities. Document investigation findings, evidence, response actions, and recommendations. Contribute to the development of cloud-specific incident-response playbooks and use cases. Automation and Secure Cloud Deployment Develop scripts using Python, PowerShell, or Bash for security automation, log parsing, enrichment, validation, and investigation. Automate repetitive SOC and cloud security processes where appropriate. Use Infrastructure as Code tools such as Terraform, AWS CloudFormation, and Azure Bicep to support secure cloud deployments. Review Infrastructure as Code templates for security risks and configuration weaknesses. Develop security workflows using services such as: AWS Lambda Amazon EventBridge Azure Logic Apps Cloud-native automation and orchestration services Support automated alert enrichment, notification, containment, and remediation workflows. Compliance and Governance Support log-retention policies and ensure that security logs are protected against unauthorised alteration or deletion. Maintain audit-ready evidence relating to cloud access, administrative activity, security events, and incident investigations. Support compliance requirements aligned with applicable frameworks and standards, including PCI DSS and HIPAA where relevant. Maintain technical documentation, cloud security procedures, integration records, and operational runbooks. Participate in periodic audits, security assessments, and control-testing activities. Required Qualifications and Experience Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, Engineering, or a related discipline. 3–8 years of relevant experience in cybersecurity, cloud security, SIEM engineering, or Security Operations Centre environments. Practical experience with at least one major cloud provider: AWS, Microsoft Azure, or Google Cloud Platform. Strong understanding of IaaS, PaaS, and SaaS security responsibilities. Working knowledge of cloud shared-responsibility models. Hands-on knowledge of identity and access management, RBAC, least privilege, MFA, and privileged-access monitoring. Experience with cloud network security concepts, including VPCs, virtual networks, security groups, firewalls, segmentation, and Zero Trust. Experience with at least one enterprise SIEM platform, preferably Securonix, Microsoft Sentinel, Splunk, IBM QRadar, or Elastic SIEM. Experience integrating cloud logs into a SIEM through native connectors, APIs, or agents. Knowledge of cloud audit, authentication, network, DNS, and activity logs. Experience investigating cloud security alerts and supporting incident-response activities. Working knowledge of Python, PowerShell, or Bash. Strong analytical, troubleshooting, and documentation skills. Ability to work independently in a fast-paced, onsite SOC environment. Preferred Skills Multi-cloud security experience across AWS, Azure, and GCP. Experience monitoring Kubernetes and container environments, including AKS, EKS, and ECS. Knowledge of Terraform, CloudFormation, or Bicep. Experience with AWS Lambda, Amazon EventBridge, or Azure Logic Apps. Familiarity with cloud security posture management and cloud workload protection platforms. Experience creating SIEM detection rules, use cases, dashboards, and automated response playbooks. Understanding of MITRE ATT&CK techniques relevant to cloud environments. Knowledge of PCI DSS, HIPAA, ISO 27001, NIST, CIS Benchmarks, or other recognised security frameworks. Experience supporting compliance audits and log-retention requirements. Exposure to threat hunting and behavioural anomaly detection in cloud environments. Preferred Certifications Any of the following certifications would be advantageous: Certified Cloud Security Professional – CCSP AWS Certified Security – Specialty Microsoft Certified: Azure Security Engineer Associate Google Professional Cloud Security Engineer Microsoft Security Operations Analyst – SC-200 Relevant SIEM Administrator or SIEM Engineer certification Other recognised cloud security or SOC certifications Key Competencies Strong cloud security and SOC fundamentals Analytical and investigative thinking Security-event correlation and log analysis Incident prioritisation and response Automation-oriented approach Attention to detail Clear technical documentation Effective communication and stakeholder coordination Ability to manage security incidents under time-sensitive conditions Candidate Profile The preferred candidate is a hands-on cloud security professional with practical SIEM and SOC experience. The individual should be capable of onboarding cloud log sources, developing monitoring use cases, investigating cloud security events, and automating operational security activities. Candidates who are currently available in the UAE or able to join immediately will be given preference. </div>

0 to 0 years Bayt

Senior Research Engineer

On-site - UAE 10 July 2026

Research & Development

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> The Human Data Interaction Lab at NYU Abu Dhabi is seeking to appoint a Senior Research Engineer to support and lead the design, development, evaluation, and dissemination of novel systems and tools for decision-making support. The position is intended for a highly experienced researcher and systems builder with strong technical independence, excellent software engineering practices, and a demonstrated ability to translate research ideas into robust, reproducible, and usable tools. The successful candidate must be available to start immediately and should bring a minimum of six years of relevant research experience, together with at least a Master’s degree in Computer Science, Computer Engineering, Human-Computer Interaction, Artificial Intelligence, Data Systems, or a closely related field. HuDa Lab examines data and decision-making from a tooling and systems-building perspective. The lab designs and builds systems that support decision-making across a variety of domains, including disinformation mitigation, collaborative decision-making, interactive data exploration, and optimization problems in uncertain environments such as stock portfolio optimization. The lab does not specialize in applied data science projects or computational social science research. Candidates whose primary interest is applied data science rather than building tools, systems, and research prototypes for data-driven decision-making are encouraged to consider opportunities in other labs. The Senior Research Engineer will be expected to contribute intellectually and technically to ongoing and new research projects. This includes designing and implementing research-grade systems, developing algorithms and interfaces, conducting simulations and comparative performance evaluations, designing and running user studies, maintaining high-quality code and data artifacts, and preparing research outputs for publication and presentation. The candidate should be comfortable working independently, mentoring junior researchers or research assistants, and collaborating closely with faculty, students, and external partners. Key responsibilities include: <ul> <li>Designing, building, and maintaining novel systems and tools for decision-making support.</li> <li>Developing research prototypes, interactive interfaces, data-processing pipelines, and experimental platforms.</li> <li>Evaluating systems through rigorous experiments, simulations, benchmarks, and user studies.</li> <li>Maintaining reproducible code, documentation, datasets, and research artifacts through GitHub and other shared repositories.</li> <li>Preparing technical reports, presentations, research manuscripts, and LaTeX documents.</li> <li>Contributing to grant-funded research outputs, conference submissions, and journal publications.</li> <li>Supporting project planning, milestone tracking, and technical coordination across the lab.</li> <li>Mentoring junior team members in software engineering, experimental design, reproducibility, and research communication.</li> </ul> A successful candidate will demonstrate strong experience in systems and tool building, algorithmic thinking, research design, and reproducible experimentation. They should be able to move fluidly between software architecture, implementation, experimental evaluation, and research communication. Strong coding skills are essential, particularly in Python, C++, JavaScript/TypeScript, or comparable languages and frameworks. Experience with SQL, declarative programming, data management, databases, visualization tools, HCI methods, AI/ML systems, optimization, or interactive data systems is highly desirable. Applicants should have a strong record of research and technical output, which may include peer-reviewed publications, open-source projects, deployed systems, research prototypes, technical reports, or major software artifacts. Experience presenting research work clearly and concisely is essential, as the lab meets frequently for short status updates and holds regular technical one-on-one meetings to examine research problems in depth. Minimum qualifications: <ul> <li>Master’s degree in Computer Science, Computer Engineering, HCI, AI, Data Systems, or a closely related field.</li> <li>At least six years of relevant research, research engineering, or senior technical experience.</li> <li>Immediate availability to start the position.</li> <li>Strong record of designing and building systems, tools, platforms, or research prototypes.</li> <li>Excellent programming ability in Python, C++, JavaScript/TypeScript, or comparable languages.</li> <li>Experience with reproducible research practices, GitHub workflows, documentation, and artifact management.</li> <li>Ability to evaluate systems through experiments, simulations, benchmarks, or user studies.</li> <li>Strong written and oral communication skills, including experience with technical presentations and LaTeX documents.</li> <li>Ability to work independently while contributing effectively to a collaborative research environment.</li> </ul> The position offers a competitive salary and attractive benefits, including housing allowance, medical insurance, annual home leave allowance, and, where applicable, dependent private school fees. The researcher will have access to excellent research facilities and dedicated support for travel, computing, publications, and research-related expenses. Applications will be evaluated immediately and will continue until the position is filled. To apply, please submit a cover letter, curriculum vitae, statement of research interests, a transcript or degree, and two letters of reference, all in PDF format. Questions regarding specifics for this position may be directed to Prof. Azza Abouzied at azza@nyu.edu. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ 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. 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. 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. Working for NYUAD 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. Visit our website for more information on benefits for you and your dependents. 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. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. 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. @WorkAtNYUAD </div>

Bayt

Senior Quantitative Analyst - Trading Risk & Fraud

Remote - UAE Sunday

Accounting, Finance & Banking

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Zeal Group is an award-winning global FinTech powerhouse with 700+ professionals across London, Europe, Asia, MENA, and South America. Through our subsidiary Traze, we deliver advanced multi-asset trading solutions across Gold, Oil, FX, Indices, and Cryptocurrencies, built for today’s fast-moving, high-volatility markets. About the Role We are looking for a Senior Quantitative Analyst to own the technical and analytical backbone of our trading risk and fraud function. This is a hands-on, individual-contributor role — not a management position. You will design, build, and maintain the systems that detect toxic flow, latency arbitrage, and abusive trading behavior, and you will use that technology yourself to investigate, classify, and act on risk. You'll report to the Head of Risk, working with a high degree of autonomy and minimal oversight. Responsibilities Design and build the backend infrastructure, monitoring tools, and detection algorithms used to identify toxic flow, latency arbitrage, and abusive trading patterns. Use the systems you build to investigate trading and non-trading activity, detect suspicious behavior, and report findings. Analyze existing and new trading products and promotions for fraud/abuse exposure and propose mitigations. Classify clients to support A-book/B-book decisioning and profitable execution outcomes. Own end-to-end delivery: from raw data extraction and hypothesis testing through to production deployment of monitoring and alerting systems. Continuously identify gaps in current processes and design new logic to increase automation and reduce manual intervention. Mentor others on technical and analytical approaches as the function grows. Must have 5+ years' experience in a trading/FX/CFD brokerage environment, in a quantitative, risk, or analytics role. Demonstrated experience independently building and owning production-grade tools, dashboards, or systems (not just using existing ones). Strong knowledge of FX/CFD products, trading conditions, and execution mechanics. Understanding of fraud/abuse patterns in trading (toxic flow, latency arbitrage, manipulation). Bachelor's degree or higher in Mathematics, Statistics, Physics, Finance, or a related quantitative field. Comfortable working with high ownership and low supervision; proactive and self-directed. Preferred Experience with Python and/or SQL for data analysis and system-building. Experience with A/B-book risk models, transaction cost analysis, or execution analytics. Exposure to regulatory reporting (MAR, FCA, CySEC, ASIC). Track record of mentoring junior analysts. This role suits someone who wants to build something from the ground up and use it, not just analyze data others have prepared. If you're a quant who thinks in systems, takes initiative without being asked, and wants ownership over a real risk function — this is built for you. </div>

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