Engineering Jobs in UAE

We're looking for a Senior AI Engineer – Agentic AI to join our team in UAE out of either our Dubai or Abu Dhabi offices in a hybrid working mode.<br><br>In this role, you will design and build scalable agentic AI platforms that integrate Large Language Models (LLMs), multi-agent orchestration and retrieval-augmented generation (RAG) patterns into production-ready enterprise solutions. You will focus on creating reusable platform components, orchestration engines and governance frameworks that allow complex AI workflows to operate securely and efficiently at scale.<br><br>You will be responsible for developing advanced orchestration capabilities, implementing evaluation and observability tooling and embedding enterprise controls for compliance and safety. If you are passionate about innovating with AI in real-world applications and scaling intelligent systems, this role offers an opportunity to make a significant impact in production-grade AI engineering.<br><br>Responsibilities<br><br>Design, build and deploy Generative AI and Agentic AI solutions from prototype to production Implement multi-agent orchestration patterns using frameworks such as Lang Graph, Crew AI, Auto Gen, Semantic Kernel or Open AI Agents SDK Develop the orchestration backbone for advanced workflows including planning, checkpointing, retries, fallback handling and resumption of long-running processes Build and optimize RAG pipelines, including chunking strategies, embeddings, vector/hybrid search and retrieval evaluation with grounded responses and citations Develop memory and context management solutions, including short-term and long-term stores and compaction strategies Write robust Python APIs and services (e.g., Fast API), incorporating async execution, background jobs and containerized deployments Integrate enterprise systems and tools using protocols such as MCP, A2A, Open API, REST and g RPC, ensuring graceful degradation and retries Apply enterprise security and governance practices including RBAC, prompt safety checks, traceability and secrets management Implement evaluation pipelines and observability frameworks using tools such as Langfuse, Arize or Open Telemetry Contribute to architectural design decisions, code reviews and engineering standards for platform development <br><br>Requirements<br><br>Bachelor’s or Master’s degree in Computer Science, Engineering or related field (PhD is a plus) Practical experience delivering Generative AI or Agentic AI systems into production environments Expertise in Python engineering for APIs, microservices, testing and CI/CD workflows Strong working knowledge of LLM capabilities, including prompt design, structured outputs, tool calling and retrieval strategies Hands-on experience with agent orchestration frameworks (Lang Graph, Auto Gen, Crew AI or Semantic Kernel) Proven experience with RAG implementations, embeddings and vector database integrations Familiarity with stateful or long-running systems, including checkpointing and resumable workflows Cloud deployment experience (Azure preferred), using services such as Azure Open AI, AI Foundry or AI Search, with Docker and Kubernetes Understanding of schema validation frameworks (e.g., JSON Schema, Pydantic) and MLOps tools such as MLflow or Airflow Strong communication ability to explain trade-offs around cost, latency and accuracy to technical and non-technical audiences <br><br>Nice to have<br><br>Experience using Azure AI Foundry or Microsoft Agent Framework Knowledge of MCP and A2A protocols for agent and tool interoperability Hands-on work with vector databases like Pinecone, Weaviate, Qdrant or pgvector Familiarity with distributed systems, workflow engines (Temporal, Airflow or Dagster) and event-driven architectures Experience with open-source LLMs or Small Language Models for custom deployments Knowledge of AI safety and governance: guardrails, output filtering and red-teaming practices Background in fine-tuning or adapting foundation models (e.g., LoRA, distillation) for domain-specific tasks<br><br>We offer<br><br>End of service gratuity Private healthcare and life insurance Employee assistance program Wellness program Annual air travel allowance for expatriates Regular performance feedback and salary reviews Global travel medical and accident insurance Referral bonuses Learning and development opportunities including in-house training and coaching, professional certifications, and courses

Senior AI Engineer On-site | Abu Dhabi<br>Applied AI is a pioneering AI technology company headquartered in Abu Dhabi, committed to innovation and excellence in artificial intelligence solutions in regulated industries such as healthcare, insurance, government, and financial services. <br>Opus is the world's first Knowledge Work AI platform. Built by Applied AI to pioneer Supervised Automation, a human-in-the-loop model where AI handles repetitive, structured tasks while human experts provide crucial oversight at defined intervals. <br>The platform uses its proprietary Large Work Model to generate and orchestrate outcome-based workflows, enabling a dramatic reduction in the cost of knowledge work and allowing human talent to focus on high-value, creative, and judgement-intensive activities. <br>Role Overview: <br>As a Senior AI Engineer, you’ll play a key role in the design, evolution, and delivery of Opus’s end-to-end AI infrastructure, spanning model serving, orchestration, prompt alignment, workflow intelligence, and agent systems. <br>Your mission is to ensure that every AI-powered feature across the platform operates with reliability, clarity, and measurable excellence in both performance and user experience.<br>You will guide a multidisciplinary UAE-based team of engineers working across model pipelines, workflow representations, and agentic frameworks. Together, you will refine the systems that connect foundational models, structured process data, and real-world user interactions. <br>Key Responsibilities:<br>Design and evolve high-performance AI serving and orchestration pipelines. Refactor existing systems for clarity, modularity, and maintainability. Improve runtime latency, reliability, and quality metrics across live AI features. Build observability and error-tracking layers to detect regressions before they reach users. Guide prompt and alignment strategies, ensuring consistent model behavior and semantic fidelity across all user-facing features. Collaborate with product teams to ensure AI responses meet quality, stability, and response-time targets. Uphold engineering standards across performance, documentation, and code quality. Lead design reviews, incident analysis, and optimization cycles across Opus AI modules. <br>Qualifications:<br>3-5 years in ML engineering, ideally within a Saa S / Product organisation. Expert in Python. Strong background in real-time model serving, orchestration (Airflow, Celery, Kubernetes), and observability systems. Familiarity with LLM pipelines, workflow modeling, and agent-based AI frameworks. Experience deploying and optimizing inference pipelines (e.g. LLMs, CV or similar APIs). Skilled in monitoring, benchmarking, and system observability. Experience mentoring engineers and managing cross-functional delivery cycles. Proven ability to translate complex AI systems into reliable, scalable, and high-quality user-facing products. Experience improving LLM response consistency and user-facing reliability. Bonus: Experience building and deploying chatbots or conversational AI systems that integrate LLMs, APIs, and user interaction flows.<br>Why join Applied AI:<br>Opportunity to work with a highly innovative AI technology company. Collaborative and innovative work environment. Growing, entrepreneurial and forward-thinking culture. Career growth and professional development opportunities. Exposure to a thriving ecosystem working from our Abu Dhabi HQ.

Job Overview We are looking for an experienced Presales technical resource to design, position, and support enterprise infrastructure solutions across HPE Compute, Storage, AI, Virtualization, Backup, and Disaster Recovery technologies. The role will work closely with sales teams, partners, customers, and HPE technical teams to understand business and application requirements and translate them into scalable, resilient, high-performance, and commercially competitive solutions.<br>Duties and Responsibilities Design end-to-end HPE infrastructure solutions covering HPE Pro Liant, Synergy, MSA, Alletra, Store Once, Store Ever, and AI/GPU platforms. Architect solutions for AI/ML, Generative AI, LLM inference, GPU acceleration, VDI, HPC, and data-intensive workloads. Translate customer requirements, RFPs, RFQs, and tender specifications into technically compliant HPE architectures and BOQs. Prepare and validate detailed BOMs/BOQs using HPE OCA, i Quote, sizing tools, and configuration platforms. Architect virtualization solutions using Hyper-V, HPE VM Essentials, and KVM-based environments. Design backup, DR, and cyber-resilience solutions involving Zerto, Commvault, HPE Store Once, and tape technologies. Develop HA, DR, migration, modernization, consolidation, and infrastructure refresh architectures. Prepare technical proposals, solution diagrams, compliance matrices, presentations, and customer-facing documentation. Lead technical discussions, workshops, partner enablement sessions, solution reviews, and customer presentations. Work closely with HPE and technology vendor technical teams to resolve configuration constraints, lifecycle issues, compatibility questions, and product availability. Support sales teams throughout the opportunity lifecycle, from requirement gathering through technical validation and proposal closure. Ensure solutions are optimized for performance, scalability, redundancy, security, supportability, and commercial competitiveness. <br>Qualifications and Skills Bachelor’s degree in IT, Computer Science, Engineering, or related discipline. Minimum 5 years proven experience as Pre-Sales Engineer in HPE or similar products. Strong experience in enterprise infrastructure presales or solution architecture. Proven ability to design and size complex data center and AI infrastructure solutions. Good understanding of GPU architecture, AI workload sizing, storage performance, and high-speed networking. Strong understanding of HPE products, configuration tools, and support offerings. Excellent presentation, documentation, and customer-facing communication skills. Ability to manage multiple opportunities, tenders, and technical engagements simultaneously. HPE certifications such as HPE ASE / Master ASE are highly desirable. AI, Zerto, Commvault, or other relevant certifications with demo/POC skills are an advantage. Experience working with distributors, system integrators, or enterprise customers is preferred. <br><br>Remuneration An attractive remuneration package will be offered to the successful candidate according to qualifications and experience.<br>Equal Employment Opportunity Logicom is committed to provide equal employment opportunities for all regardless of their race, colour, sex/gender, religion, age, marital status, cultural background, disability, nationality and political opinion. Employees are hired solely based on a specific vacancy’s requirements, taking into consideration the qualifications, previous experience and potential of each individual candidate.<br>Disclaimer We reserve the right to remove the announcement from circulation at any point in time when a satisfactory number of applications has been received.<br>Only applicants whose previous experience and qualifications closely match the requirements of the position will be contacted.

Role: Data Infrastructure Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $140K - $180K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Data Engineer to work on a full-time basis. The role involves designing, building, and maintaining scalable data pipelines and infrastructure. You will collaborate with cross-functional teams to deliver high-quality data solutions that support business insights and decision-making.<br>Key Responsibilities:• Design, develop, and optimize data pipelines to extract, transform, and load large datasets.• Implement and maintain data warehouses and data lakes to support analytical and operational reporting.• Collaborate with data scientists and analysts to ensure data accessibility and integrity.• Monitor pipeline performance and troubleshoot issues to ensure reliability and efficiency.• Document data architecture, processes, and standards for team reference and compliance.<br>Required Skills & Qualifications:• Proficiency in SQL and experience with relational and NoSQL databases.• Experience with ETL/ELT tools such as Airflow, Spark, or similar frameworks.• Knowledge of data modeling and warehouse design principles.• Familiarity with cloud platforms like AWS, GCP, or Azure for data infrastructure.• Strong problem-solving skills with attention to scalability and performance.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of data-driven solutions that enhance customer experiences. You will be part of a team that values technical excellence and innovation in data engineering.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Go Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients to build the next generation of dialog agents with wide-ranging applications in education, entertainment, and question-answering systems. The role involves close collaboration with cross-functional teams to define, design, and deliver new features.<br>Key Responsibilities:• Review AI-generated code and solutions to ensure adherence to quality standards and development best practices• Organize development cycles, set priorities, and define project goals and deadlines• Resolve complex coding issues using Go expertise during AI validation and system integration• Verify accuracy, efficiency, and dependability of AI-generated code through validation processes• Analyze code, provide constructive feedback, and foster a collaborative environment that encourages innovation and continuous improvement<br>Required Skills & Qualifications:• Bachelor’s or master’s degree in engineering, computer science, or equivalent experience• At least 3+ years of relevant software engineering experience, with a proven ability to lead teams• In-depth knowledge of Go programming language and software development best practices• Experience with AI systems and code-creation technologies, including LLM model training• Proactive contribution to public Git Hub repositories, including feature development and code refactoring for large codebases<br>More About the Opportunity:This role offers a unique opportunity to contribute to cutting-edge AI technology that powers open-ended, collaborative dialogues. The company is building scalable backend components to support high-quality LLM training and deployment across diverse frameworks.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Database Reliability Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $220K - $260K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Senior Database Reliability Engineer to work on a full-time basis. This role requires designing, implementing, and maintaining scalable database systems to ensure high availability and performance.<br>Key Responsibilities:• Design, deploy, and optimize database architectures to meet performance and scalability requirements.• Implement monitoring, alerting, and automated recovery processes for database systems.• Lead incident response and post-mortem analysis to minimize downtime and improve system resilience.• Collaborate with engineering teams to integrate database best practices into development workflows.• Evaluate and adopt new database technologies and tools to enhance reliability and efficiency.<br>Required Skills & Qualifications:• 5+ years of experience in database administration or reliability engineering with Postgre SQL, MySQL, or similar systems.• Strong proficiency in SQL and database optimization techniques.• Experience with cloud platforms such as AWS, GCP, or Azure and their managed database services.• Knowledge of infrastructure as code tools like Terraform or Ansible for database deployments.• Familiarity with observability tools such as Prometheus, Grafana, or Datadog.• Ability to automate routine database tasks and write scripts in Python, Bash, or Go.• Understanding of database security best practices and compliance requirements.• Experience with high-availability configurations and disaster recovery planning.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet industry, contributing to the stability and scalability of mission-critical database systems. The position involves direct collaboration with cross-functional teams to drive improvements in database performance and reliability.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Strong hands-on experience with Golang / GoStrong understanding of Networking Fundamentals Hands-on experience with Routing / Network Protocols, particularly OSPF and/or SNMPGood knowledge of Access Control Lists (ACLs) Understanding of Symmetric and Asymmetric Cryptography Hands-on experience with IPSec (Internet Protocol Security) Strong debugging, troubleshooting, and problem-solving skills Experience developing scalable and secure backend applications Good understanding of Linux/networking environments will be an added advantage

Role Description The AI Prompt Engineer will design, refine, and test prompts to improve the performance and reliability of AI language models for media and communication use cases. This part-time remote role involves collaborating with content, strategy, and research teams to understand requirements, translate them into effective prompt structures, and document best practices. Day-to-day tasks include experimenting with different prompt formats, analyzing AI outputs, optimizing for clarity, bias reduction, and relevance, and building prompt libraries for repeated use. The AI Prompt Engineer will also support training sessions, create guidelines for stakeholders using AI tools, and stay current with emerging AI capabilities and ethical considerations. Qualifications Strong skills in analytical thinking, problem-solving, and structured experimentation with AI tools and language models. Ability to write clear, concise, and context-aware prompts, with attention to nuance, tone, and audience in both English and Arabic (or strong proficiency in at least one and willingness to learn the other). Experience working with generative AI platforms (e.g., large language models), including testing, evaluation, and refinement of outputs. Understanding of media, communication, or digital content workflows, and the ability to translate sector needs into practical AI use cases. Familiarity with AI ethics, data privacy, and responsible use of technology in a non-profit and community-focused context. Comfort working remotely, managing time independently, and collaborating effectively with cross-functional, diverse teams. Bachelor’s degree or ongoing studies in a relevant field (such as Communications, Media, Computer Science, Data Science, or related disciplines), or equivalent practical experience. Previous experience in prompt engineering, content creation, or AI-assisted workflows is preferred but not required; strong motivation to learn and experiment is essential.

Role: Dev Ops Engineer (Infrastructure) Location: Remote Job Type: Contract Payout: $20 - $70/hour<br>Role Overview:We are hiring for one of our clients, seeking a Dev Ops Engineer to work on a contract basis. The role involves designing, implementing, and maintaining CI/CD pipelines to streamline software delivery processes. This position requires collaboration with cross-functional teams to optimize infrastructure and deployment workflows.<br>Key Responsibilities:• Design, configure, and maintain CI/CD pipelines using tools such as Jenkins, Git Lab CI, or Git Hub Actions.• Automate infrastructure provisioning and configuration management using Terraform, Ansible, or similar tools.• Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability.• Collaborate with development, security, and operations teams to implement Dev Ops best practices and enhance deployment efficiency.• Support cloud infrastructure on platforms such as AWS, Azure, or GCP, ensuring scalability and cost optimization.<br>Required Skills & Qualifications:• Experience with CI/CD pipeline design and automation tools such as Jenkins, Git Lab CI, or Git Hub Actions.• Proficiency in infrastructure as code (IaC) tools like Terraform or Cloud Formation.• Strong scripting skills in languages such as Python, Bash, or Power Shell.• Knowledge of containerization and orchestration using Docker and Kubernetes.• Experience with monitoring and logging tools like Prometheus, Grafana, ELK Stack, or similar.• Familiarity with cloud platforms including AWS, Azure, or GCP.• Understanding of networking concepts and security best practices in cloud environments.• Experience with configuration management tools such as Ansible, Puppet, or Chef.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the modernization of software delivery pipelines. You will play a key role in enhancing system reliability and accelerating deployment cycles for critical applications.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p>We are Sisco Jobs, a recruitment consultancy based in Trichy, Tamil Nadu. We are hiring for the position of <b>Production Support Engineer (L1/L2/L3)</b> in <b>Abu Dhabi, UAE</b>. The requirement supports banking clients and seeks skilled, motivated professionals with strong production support expertise across server administration, cloud platforms, APIs, databases, and incident management. If you meet the requirements below, apply early as positions are limited.<br></p><br>Key Responsibilities<br><ul><li>Provide L1/L2/L3 production support for business-critical applications within banking environments.<br></li><li>Administer and troubleshoot Linux and Windows Server environments.<br></li><li>Support and diagnose production workloads hosted across both AWS and Azure cloud platforms.<br>Contact-9786888866</li><li>Investigate API failures, connectivity issues, response errors, and application integration problems.<br></li><li>Execute SQL queries and perform database-level troubleshooting to identify production issues.<br></li><li>Manage incidents according to ITIL practices, ensuring appropriate escalation and resolution.<br></li><li>Perform root-cause analysis and coordinate with relevant technical teams during high-priority incidents.<br></li><li>Monitor production systems and help maintain service availability and operational stability.<br></li></ul>Required Skills<br><ol><li><b>Linux &amp; Windows Server Administration</b> — Strong hands-on administration and troubleshooting experience is mandatory.<br></li><li><b>AWS &amp; Azure Cloud</b> — Mandatory hands-on experience working with <b>both</b> cloud platforms.<br></li><li><b>API Troubleshooting</b> — Ability to understand APIs and debug API-related production issues.<br></li><li><b>SQL &amp; Database Troubleshooting</b> — Strong SQL knowledge with practical database troubleshooting capability.<br></li><li><b>ITIL &amp; Incident Management</b> — Expertise in ITIL processes and managing high-pressure production incidents.<br></li></ol>Preferred Skills<br><ul><li>Production monitoring and root-cause-analysis experience.<br></li><li>Application support experience in business-critical environments.<br></li><li>Strong troubleshooting and cross-team incident coordination capabilities.<br></li></ul>Work Experience Requirements<br><p>Candidates must have <b>4–10 years of experience</b>. Experience in the <b>banking domain is mandatory</b>, along with hands-on production/application support exposure. Candidates should have practical experience supporting critical systems and resolving production incidents under pressure.<br></p><br>Education<br><ul><li><b>Minimum:</b> Typical qualification — Bachelor’s degree in Computer Science, Information Technology, Engineering, or related discipline<br></li><li><b>Preferred:</b><br></li><li><b>Additional:</b> ITIL / AWS / Azure certifications are relevant but not specified as mandatory.<br></li></ul>Contact-9786888866<br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking a highly practical and hands-on Mechanical Design Engineer who thrives on turning concepts into manufacturable products. This role is ideal for someone who enjoys working at the intersection of engineering design, prototyping, and production, transforming ideas, sketches, and specifications into high-quality engineering solutions.</p><br><br> <p>You will work closely with our research and engineering leadership team to develop innovative mechanical products and components, taking projects from initial concept through detailed design, prototyping, and manufacturing.</p><br><br> Key Responsibilities <ul> <li>Translate whiteboard discussions, sketches, and written specifications into robust mechanical designs. </li><li>Collaborate closely with researchers and technical leaders to develop concepts into production-ready engineering solutions. </li><li>Create detailed engineering drawings, models, and supporting technical documentation. </li><li>Develop practical, manufacturable designs that balance performance, cost, and production efficiency. </li><li>Work directly with manufacturing partners, machine shops, and production facilities to ensure successful fabrication of components and assemblies. </li><li>Support prototype development using 3D printing and other rapid manufacturing techniques. </li><li>Assemble, test, and refine prototypes and mechanical systems as required. </li><li>Contribute ideas and engineering improvements throughout the product development process. </li><li>Participate in design reviews and provide technical input on manufacturability, materials, and production methods. </li></ul> Required Skills &amp; Experience <ul> <li>Strong practical experience in mechanical design, drafting, or mechanical engineering. </li><li>Advanced proficiency in SolidWorks. Experience with other CAD platforms will be considered, particularly if you can transition quickly to SolidWorks. </li><li>Ability to convert conceptual discussions and requirements into detailed engineering designs. </li><li>Strong understanding of manufacturing processes, including machining, moulding, and additive manufacturing. </li><li>Experience designing components in metals and plastics. </li><li>Familiarity with prototyping techniques, particularly 3D printing. </li><li>Basic FEA experience and/or ability to perform engineering hand calculations to support design decisions. </li><li>Ability to work effectively with external manufacturers, fabricators, and machine shops. </li><li>Hands-on workshop experience, including the use of engineering hand tools and machine tools for prototype assembly and modification. </li><li>Strong problem-solving abilities and a practical engineering mindset. </li></ul> Preferred Experience <ul> <li>Knowledge of ceramics, moulding technologies, or advanced manufacturing processes. </li><li>Experience designing moving mechanical assemblies, sealing systems, and pressure-containing components. </li><li>Experience working with products operating at pressures up to 125 bar. </li><li>Exposure to structural frame design and mechanical support structures. </li><li>Sheet metal design experience is beneficial but not essential. </li></ul> What We're Looking For <p>The successful candidate will:</p><br><br> <ul> <li>Quickly understand complex technical concepts and contribute valuable ideas. </li><li>Ask insightful questions and rapidly develop an understanding of the broader project objectives. </li><li>Deliver high-quality work at pace while maintaining strong engineering standards. </li><li>Be highly collaborative and able to build effective working relationships across diverse teams. </li><li>Integrate quickly into a fast-moving environment. </li><li>Demonstrate humility, professionalism, and a strong focus on achieving results. </li><li>Be self-motivated, proactive, and comfortable working independently as well as within a team. </li><li>Show resilience and professionalism when working under pressure. </li><li>Take ownership of outcomes and remain focused on delivering practical solutions. </li></ul> &nbsp; <br><br> </div>

<ul><li><p>· Administer and maintain all IT Network and Security aspects, configure and install various network devices and services (e.g. Routers, Switches, Firewalls). · Perform maintenance and upgrades for managed network and network security devices including firmware upgrades, hotfixes, hardening, and security configuration changes. · Design and operate Azure network connectivity using hub and spoke architecture to enforce segmentation, secure routing, and controlled east west traffic flows. · Work within established configuration and change management policies to ensure awareness, approval and success of changes made to the network infrastructure. · Select and implement security tools, policies, and procedures in conjunction with the company's security team. · Integrate comprehensive metrics into the security posture of the organization. · Identify areas of weakness and vulnerability and recommends changes to meet security standards. · Facilitate security vulnerability assessments for internal and external penetration testing. · Provide technical direction and guidance to other Security Engineers, Information Technology, and the business to align with regulatory, security requirements. · Monitor Network performance and ensure system availability and reliability. · Review the logs of all devices collected through Security Event Log Manager Device. Provide Level-2/3 support and troubleshooting to resolve issues. · Liaise with vendors and customer IT personnel for problem resolution. · Ensure all Network and system configuration are appropriately documented. Cloud Management & Governance (Network & Security Scope) · Design, implement, and maintain secure cloud network architectures including Virtual Networks, Subnets, NSGs, Route Tables, VPN Gateways, and ExpressRoute connectivity. · Enforce cloud networking governance standards including IP addressing schemes, segmentation policies, and security zoning. · Ensure compliance with cloud security best practices and regulatory requirements for network isolation and traffic control. · Implement and maintain cloud firewall policies, network access controls, and secure connectivity between on-premises and cloud environments. · Monitor cloud network usage and optimize routing and bandwidth utilization. · Support cloud security posture management by enforcing least privilege access and secure connectivity models. · Participate in cloud architecture reviews to ensure network resiliency, scalability, and high availability. Managed Service Partner Coordination · Act as technical focal point for managed service providers handling network operations, SOC, NOC, and security monitoring services. · Coordinate incident response activities with service partners during network outages or security events. · Review managed service performance reports and ensure SLA and KPI compliance. · Validate vendor configuration changes and security updates before production deployment. · Participate in service review meetings and provide technical feedback on operational improvements. · Support onboarding of new vendors and technologies including knowledge transfer sessions and technical documentation validation. · Escalate critical operational risks and performance gaps to IT management. Performance Optimization & Troubleshooting · Continuously monitor network performance, latency, throughput, and packet loss across LAN, WAN, and cloud connectivity. · Identify performance bottlenecks and implement optimization strategies including QoS tuning, routing optimization, and firewall rule cleanup. · Perform root cause analysis (RCA) for major incidents and recurring network or security issues. · Conduct proactive health checks on firewalls, switches, routers, and VPN gateways. · Optimize security device performance by reviewing logging levels, policy efficiency, and inspection rules. · Support capacity planning and forecast network growth requirements. · Participate in disaster recovery testing and network resilience validation. Collaboration & Documentation · Work closely with Infrastructure, Cloud, Application, and Information Security teams to ensure end-to-end network and security alignment. · Maintain up-to-date network topology diagrams, firewall rule documentation, IP address management records, and cloud architecture diagrams. · Document standard operating procedures (SOPs) for network operations, incident handling, and security changes. · Support audit activities by providing network configuration evidence and security compliance documentation. · Participate in change advisory board (CAB) meetings and contribute technical risk assessments. · Share technical knowledge with junior engineers and operations teams through internal documentation and training sessions.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Essential: Bachelor’s degree in computer science, Information Technology, Network Engineering, Cybersecurity, or related discipline. Desirable: · Cisco Certified Network Associate (CCNA) – Mandatory or Strongly Preferred. · Cisco Certified Network Professional (CCNP) – Advantage · Fortinet NSE (NSE 4 / NSE 5 / NSE 7) or equivalent firewall certification · Strong experience in enterprise networking including TCP/IP, VLANs, routing, switching, VPN, firewall technologies, and LAN/WAN infrastructure management. · Strong experience in implementing and managing firewalls, IPS/IDS, VPNs, WAF, Zero Trust security models, vulnerability management tools, and SIEM-based SOC/NOC security monitoring. · Hands-on experience with Azure networking services, hybrid cloud connectivity, and implementation of cloud security controls and governance best practices. · Strong analytical and troubleshooting skills with the ability to work under pressure, maintain accurate documentation, communicate effectively with stakeholders and vendors, and participate in on-call and shift-based operations. Skills CCNA Azure Networking</p></li></ul><br><p>Experience: 7–10 years of experience in enterprise network and security environments, preferably within Banking, Financial Services, or regulated industries</p>

<ul><li><p>Maintenance of Low Voltage (LV) distribution network</p></li><li><p>Work with 11/6.6/.4 KV Sub-station electrical infrastructure</p></li><li><p>Perform LV network up-gradation</p></li><li><p>Manage load diversion processes</p></li><li><p>Lead multi field groups</p></li><li><p>Communicate effectively with clients and authorities</p></li><li><p>Follow safety and risk assessment procedures</p></li><li><p>Work in rotational shifts round the clock</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Ability to lead multi field groups</li><li>Effective communication skills with clients and authorities</li><li>Certification in safety and risk assessment procedures</li><li>Valid GCC driving license</li></ul>

We are currently seeking ERP Support Engineer/Analyst to join our team.<br>Key Responsibilities:Provide support during the ERP implementation lifecycle, including configuration, testing, and deployment. Assist in troubleshooting ERP issues and resolving system-related problems. Develop and maintain SQL queries and reports to support business operations. Collaborate with cross-functional teams to gather requirements and enhance ERP functionalities. Support end-users by providing training and functional assistance as needed. Document processes, updates, and workflows related to the ERP system.<br>Requirements:Bachelor’s Degree in Information Technology, Computer Science, or related field. Minimum 8 years of experience in ERP support, implementation, or administration in construction industry. Strong hands-on experience with ERP systems (e Promis, Oracle, Expedition, Focus, or similar). Proficient in SQL and programming (Angular, Power Builder, and . NET); both are mandatory. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills.<br>What We Offer:Attractive salary package (AED 9,000 – 10,000) Career growth and long-term opportunities Professional and dynamic work environment

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Role Summary We are looking for a hands-on Data Engineer with strong ETL and PySpark expertise to design, build, and support data pipelines and data marts within a banking environment.<br> The ideal candidate will own the full SDLC lifecycle — from build through UAT, production deployment, and post-production support — while working across structured, semi-structured, and unstructured data.<br> Key Responsibilities Design, develop, and maintain ETL pipelines and data marts using PySpark and Python Write clean, maintainable, and production-grade Python code following software engineering best practices Own end-to-end SDLC activities: build, UAT support, UAT bug fixes, production deployment, and post-production support Perform data analysis and debugging using Oracle SQL and PySpark Work across structured, semi-structured, and unstructured data sources Build and maintain data warehousing solutions supporting banking/financial reporting needs Debug and optimize PySpark jobs for performance and reliability Collaborate with cross-functional teams (QA, DBAs, business analysts) through the release cycle Participate in CI/CD pipeline processes, including testing and validation of data pipelines Ensure data pipeline reliability, scalability, and adherence to banking data governance/compliance standards Required Skills &amp; Experience 5+ years of commercial experience in a data-driven engineering role Hands-on experience building data marts and ETL pipelines Expert-level PySpark and Python for ETL scripting Strong command of Oracle SQL for data analysis and debugging Proven experience across the full SDLC — build, UAT, bug fixing, deployment, post-prod support Strong understanding of software engineering concepts and best practices for production pipelines Experience working with structured, semi-structured, and unstructured data Prior experience with banking clients or strong banking domain knowledge Strong data warehousing fundamentals Tech Stack (Daily Use) Languages: Python Big Data: Spark / PySpark, Hadoop, MapReduce, Hive Data Libraries: Pandas Databases: SQL and NoSQL DBMS Tools: Jupyter Practices: CI/CD, data testing &amp; validation Nice to Have (optional — add if applicable) Cloud experience (AWS/Azure/GCP) — not mentioned in your input, confirm with client Airflow or other orchestration tools Experience with regulatory/compliance reporting in banking</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are building a world-class, in-house AI engineering capability to create and scale enterprise AI solutions for complex operational environments. We build, own, and continuously evolve our AI products rather than relying on off-the-shelf solutions.</span> <p><span>As a <strong>Forward Deployed AI Engineer, y</strong>ou will define the technical direction for an AI squad embedded within the business. Working closely with stakeholders, you will understand business challenges and their underlying drivers, then design, build, deploy, and operate agentic AI systems that deliver measurable outcomes.</span></p><br><br> <p><span>This is a highly hands-on, build-first role with end-to-end ownership of real business outcomes. You will partner with Business Product Owners and AI Value Architects while leveraging a shared AI platform, standards, and integration frameworks that enable teams to innovate rapidly and independently.</span></p><br><br> <span>Key Accountabilities &amp; Responsibilities</span> <span>Understand Before You Build</span> <p><span>Begin every initiative by understanding the business problem, objectives, and desired outcomes. Partner directly with stakeholders and lead solutions from discovery through production deployment.</span></p><br><br> <span>AI Solution Development</span> <ul> <li><span>Design, build, deploy, and continuously improve enterprise-grade agentic AI applications using agentic development practices as the primary engineering approach.</span> </li><li><span>Develop AI agents capable of multi-step reasoning, tool and API orchestration, context management, exception handling, and human-in-the-loop workflows at enterprise scale.</span> </li><li><span>Design and implement Retrieval-Augmented Generation (RAG) solutions, including data ingestion, chunking strategies, embeddings, vector search, retrieval optimization, grounding, and source traceability.</span> </li><li><span>Build integrations using Model Context Protocol (MCP) and connect AI systems to enterprise platforms through REST APIs, OpenAPI specifications, webhooks, and event-driven architectures.</span> </li><li><span>Create reusable, self-service AI services and interfaces that can be leveraged across multiple business domains.</span> </li><li><span>Apply structured LLM engineering practices, including tool calling, schema validation, retries, fallbacks, and guardrails.</span> </li></ul> <span>Quality, Reliability &amp; Governance</span> <ul> <li><span>Own solution quality from inception through operation, including testing, evaluation, observability, logging, version control, and continuous feedback mechanisms.</span> </li><li><span>Optimize reliability, accuracy, performance, security, latency, and cost across deployed AI solutions.</span> </li><li><span>Ensure compliance with security, privacy, access controls, auditability, responsible AI principles, and governance requirements.</span> </li></ul> <span>Technical Leadership</span> <ul> <li><span>Take ownership of business outcomes within a specific domain, ensuring successful delivery and measurable impact.</span> </li><li><span>Establish reusable patterns, frameworks, and engineering standards that strengthen internal AI capabilities.</span> </li><li><span>Collaborate effectively with Product Owners, AI Architects, and engineering teams, while challenging assumptions and identifying when AI is not the appropriate solution.</span> </li><li><span>Define technical direction, architecture standards, and strategic build-versus-buy decisions for AI initiatives.</span> </li><li><span>Design multi-agent systems, agent-to-agent communication patterns, and evaluation frameworks that ensure robustness and scalability.</span> </li><li><span>Lead engagements with external AI technology providers and partners while maintaining a strong focus on internal capability development.</span> </li><li><span>Mentor engineers, conduct technical reviews, and raise engineering standards across quality, security, and cost optimization.</span> </li></ul> <span>Education &amp; Experience</span> <p><span>We are seeking a technical leader who combines deep engineering expertise in agentic AI with strong business acumen and a hands-on delivery mindset.</span></p><br><br> <span>Core Requirements</span> <ul> <li><span>Demonstrated curiosity and a passion for understanding complex business and operational challenges.</span> </li><li><span>Strong business-first, human-centered approach, recognizing that AI augments people rather than replacing them.</span> </li><li><span>Excellent communication skills in English and experience working within diverse, international teams.</span> </li><li><span>8+ years of experience building production-grade software, including:</span> <ul> <li><span>4+ years working with Generative AI, Large Language Models (LLMs), or applied Machine Learning.</span> </li><li><span>At least 1 year of hands-on experience designing and deploying agentic AI solutions.</span> </li><li><span>Proven success setting technical direction and delivering AI solutions at scale.</span> </li></ul> </li><li><span>Hands-on experience or strong working knowledge of Model Context Protocol (MCP) for connecting AI agents with systems, tools, APIs, and data sources.</span> </li><li><span>Strong Python programming skills and expertise in at least one of the following:</span> <ul> <li><span>TypeScript / JavaScript</span> </li><li><span>Java</span> </li><li><span>C#</span> </li></ul> </li><li><span>Strong understanding of modern engineering practices, including asynchronous programming, FastAPI, Pydantic, CI/CD, testing strategies, source control, logging, and error handling.</span> </li><li><span>Experience with at least one agent framework or enterprise AI platform, such as:</span> <ul> <li><span>LangGraph</span> </li><li><span>Semantic Kernel</span> </li><li><span>CrewAI</span> </li><li><span>AutoGen</span> </li><li><span>OpenAI Agents SDK</span> </li><li><span>Microsoft Foundry</span> </li><li><span>Amazon Bedrock AgentCore</span> </li><li><span>Google Vertex AI / Gemini</span> </li></ul> </li><li><span>Experience with vector databases and search platforms such as:</span> <ul> <li><span>Azure AI Search</span> </li><li><span>pgvector</span> </li><li><span>Pinecone</span> </li><li><span>Weaviate</span> </li><li><span>OpenSearch</span> </li></ul> </li><li><span>Experience integrating enterprise systems through APIs, managed identities, middleware, webhooks, messaging queues, and cloud-native architectures.</span> </li><li><span>Practical experience deploying solutions in cloud environments using containers, monitoring, and observability platforms.</span> </li><li><span>Strong judgment regarding trade-offs between quality, latency, reliability, security, governance, and cost.</span> </li></ul> <span>Desirable Experience</span> <ul> <li><span>Experience in aviation, transportation, logistics, supply chain, cargo operations, customer service operations, or other complex operational environments.</span> </li><li><span>Background in classical machine learning, data science, or advanced analytics.</span> </li><li><span>Experience across full-stack software development, including front-end, API, and back-end engineering.</span> </li></ul> <span>Preferred Experience</span> <ul> <li><span>Designing AI agents for enterprise-scale operational workflows.</span> </li><li><span>Voice AI, email automation, CRM integrations, workflow automation, or multilingual AI solutions.</span> </li><li><span>Building evaluation frameworks, golden datasets, simulation-based testing, regression testing, and AI quality measurement systems.</span> </li><li><span>Designing multi-agent architectures, agent registries, and tool orchestration standards.</span> </li><li><span>Leading delivery with external AI platforms, startups, or technology vendors while developing internal engineering teams and capabilities.</span> </li></ul> <span>Education</span> <ul> <li><span>Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical field; or equivalent practical experience.</span> </li><li><span>Relevant certifications in Cloud AI, Generative AI, Agentic AI, MLOps, or related disciplines are advantageous.</span> </li></ul> <br><br> </div>

<p><strong>Job description:</strong></p><p><strong>Hiring: Testing & Commissioning Engineer - Dubai</strong></p><p><strong>Department</strong>: Generator (Non Cables)</p><p><strong>Key Responsibilities:</strong></p><ul><li><p>Perform testing and commissioning of diesel generators, synchronization panels, AMF panels, and related equipment.</p></li><li><p>Conduct preventive and corrective maintenance of generator systems.</p></li><li><p>Troubleshoot electrical and mechanical faults in generators and associated control systems.</p></li><li><p>Inspect, diagnose, and rectify operational issues to minimize downtime.</p></li><li><p>Ensure generators comply with project specifications and client requirements during commissioning.</p></li><li><p>Carry out load bank testing and performance evaluation of generator sets.</p></li><li><p>Prepare commissioning reports, service reports, and maintenance documentation.</p></li><li><p>Coordinate with project, service, and operations teams for smooth execution of maintenance activities.</p></li><li><p>Attend breakdown calls and provide timely technical support.</p></li><li><p>Ensure compliance with safety standards, quality procedures, and company policies.</p></li><li><p>Support installation, startup, and handover activities at client sites.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's Degree or Diploma in Electrical/Mechanical Engineering.</p></li><li><p>3–7 years of experience in generator maintenance, testing, and commissioning.</p></li><li><p>Strong knowledge of diesel generators, control panels, synchronization systems, and power distribution.</p></li><li><p>Experience with major generator brands such as Cummins, Perkins, Caterpillar, or similar.</p></li><li><p>Ability to read electrical schematics and technical drawings.</p></li><li><p>Strong troubleshooting and problem-solving skills.</p></li><li><p>UAE driving license will be an added advantage.</p></li></ul>

<p><strong>Key Responsibilities</strong></p><p><strong>Quality Assurance & Control</strong></p><ul><li><p>Ensure all E&I construction and installation activities comply with ADNOC requirements, project specifications, approved drawings, method statements, ITPs and applicable international standards.</p></li><li><p>Develop, review and implement Inspection & Test Plans (ITPs), Inspection & Test Records (ITRs), Inspection Requests (IRs), checklists and quality documentation.</p></li><li><p>Monitor site activities and ensure compliance with approved procedures, specifications and quality requirements.</p></li><li><p>Identify, raise, monitor and close Non-Conformance Reports (NCRs), including verification of corrective and preventive actions.</p></li><li><p>Conduct material receiving inspections and verify materials against approved material submittals, specifications and applicable standards.</p><br></li></ul><p><strong>Electrical Inspection</strong></p><ul><li><p>Inspect electrical installation activities including:</p><ul><li><p>Cable trays, ladders and supports</p></li><li><p>Cable laying and dressing</p></li><li><p>Cable glanding and termination</p></li><li><p>LV/MV panels and switchgear</p></li><li><p>Lighting and small power systems</p></li><li><p>Junction boxes and electrical equipment</p></li></ul></li><li><p>Witness and verify electrical testing, including insulation resistance (IR/Megger), continuity, earth resistance, functional and other applicable tests.</p></li><li><p>Inspect and verify earthing/grounding and lightning protection systems, including testing and documentation.</p></li><li><p>Inspect Cathodic Protection (CP) installation and associated quality records.</p></li></ul><br><p><strong>Instrumentation Inspection</strong></p><ul><li><p>Inspect installation of instruments, control valves, junction boxes and associated instrumentation equipment.</p></li><li><p>Verify instrument tubing, impulse lines, fittings, supports and installation against approved hook-ups and drawings.</p></li><li><p>Inspect instrument cabling, glanding, termination and identification.</p></li><li><p>Verify instrument calibration, calibration certificates and associated documentation.</p></li><li><p>Witness and review loop checking, functional testing, pre-commissioning and commissioning activities.</p></li></ul><br><p><strong>Engineering & Documentation Review</strong></p><ul><li><p>Review and verify P&IDs, electrical drawings, cable schedules, instrument datasheets, hook-up drawings, General Arrangement (GA) drawings and other approved engineering documents.</p></li><li><p>Verify red-line mark-ups and ensure accurate As-Built drawings are maintained.</p></li><li><p>Ensure traceability and proper compilation of all inspection and testing records.</p></li><li><p>Coordinate preparation and compilation of the Final Quality Dossier and project handover documentation.</p></li></ul><br><p><strong>Coordination & Interface Management</strong></p><ul><li><p>Coordinate closely with Client/ADNOC, PMC, TPI, Construction, Engineering, Commissioning and other project teams.</p></li><li><p>Attend inspections, testing and quality meetings with Client/PMC/TPI representatives.</p></li><li><p>Provide technical support to construction and commissioning teams to resolve quality-related issues.</p></li><li><p>Prepare clear and accurate quality reports, inspection status reports and technical correspondence.</p></li></ul><br><p><strong>Standards & Technical Knowledge</strong></p><p>The candidate must have strong working knowledge of applicable ADNOC specifications and requirements, along with relevant international standards, including:</p><ul><li><p>IEC</p></li><li><p>IEEE</p></li><li><p>NFPA</p></li><li><p>API</p></li><li><p>ISO 9001</p></li><li><p>Other applicable Oil & Gas, Electrical and Instrumentation standards and codes</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Mandatory Requirements</strong></p><ul><li><p>Minimum 12 years of relevant E&I experience.</p></li><li><p>Minimum 5 years of Oil & Gas experience, preferably in ADNOC projects.</p></li><li><p>Minimum 2 years of experience as a QA/QC / Quality Engineer.</p></li><li><p>Bachelor’s Degree in Electrical & Instrumentation Engineering.</p></li><li><p>ISO 9001:2015 Lead Auditor Certification – Mandatory.</p></li><li><p>Strong knowledge of ADNOC quality requirements, specifications and inspection procedures.</p></li><li><p>Strong experience in E&I inspection, testing, commissioning and quality documentation.</p></li><li><p>Strong technical reporting, communication, coordination and problem-solving skills.</p></li><li><p>Strong commitment to quality, HSE, compliance and continuous improvement.</p><br></li></ul><p><strong>Preferred / Advantageous</strong></p><ul><li><p>ADNOC or ARAMCO Quality Engineer approval.</p></li><li><p>ATEX Certification.</p></li><li><p>IECEx Certification.</p></li><li><p>Experience with Easy Plant and Easy Piping.</p></li><li><p>Previous experience on major ADNOC Oil & Gas EPC projects.</p></li><li><p>Experience working directly with Client/PMC/TPI inspection teams.</p><br></li></ul><p><strong>Core Competencies</strong></p><ul><li><p>E&I Quality Assurance & Quality Control</p></li><li><p>ADNOC Standards & Specifications</p></li><li><p>Electrical & Instrumentation Inspection</p></li><li><p>Inspection & Test Planning</p></li><li><p>Testing & Commissioning</p></li><li><p>NCR & Corrective Action Management</p></li><li><p>Quality Documentation & Dossier Compilation</p></li><li><p>Client/PMC/TPI Coordination</p></li><li><p>Technical Reporting</p></li><li><p>Problem Solving & Root Cause Analysis</p></li><li><p>Strong Safety, Quality & Compliance Mindset</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><span>Join Our Team at Eaton: Empowering Tomorrow, Today!&nbsp;</span></span></p><br><br><br><p><span>Dubai serves as a strategic hub for Eaton’s Middle East operations, bringing together commercial, engineering, manufacturing, and support teams within a globally connected business environment. Building on more than 40 years in the region, Eaton recently announced the development of a new sustainable campus in Dubai, reinforcing our long‑term investment in growth, collaboration, and capability building. </span></p><br><br><br><p><span><strong><span>About Us:</span></strong></span></p><br><br><p><span><span>Eaton is a power management company where we provide energy-efficient solutions that help our customers effectively manage electrical, hydraulic and mechanical power more efficiently, safely and sustainably. Eaton is dedicated to improving the quality of life and the environment through the use of power management technology and services. Eaton has approximately 96,000 employees and sells products to customers in more than 175 countries.&nbsp;</span></span></p><br><br>What you’ll do: <br><br><ul><li>Design and develop low voltage electrical systems and components for automation projects.</li><li>Create detailed electrical schematics, wiring diagrams, and layout drawings using innovative engineering solutions to address complex challenges.</li><li>Collaborate with cross-functional teams to define project requirements and specifications by using technical engineering skillset.</li><li>Conduct feasibility studies and technical assessments for new projects meetings using operational technical engineering excellence frameworks.</li></ul><ul><li>Develop and standardize industrialization methodologies, processes and best practices, contributing to manufacturing engineering knowledge and capability</li></ul><ul><li>Translate product design requirements into manufacturable solutions, ensuring Design for Manufacturing (DFM) alignment with R&amp;D teams</li><li>Select appropriate electrical components and materials for system design.</li><li>Ensure compliance with industry standards and safety regulations.</li><li>Troubleshoot and resolve electrical design issues during the development and testing phases.</li><li>Provide technical support and guidance to junior engineers and technicians.</li><li>Participate in design reviews and contribute to continuous improvement initiatives.</li><li>Prepare and maintain comprehensive documentation for all design activities</li><li>Liaise and support with multiple internal stakeholders inclusive of&nbsp;product line management and front end solutions architects.</li></ul><br>Qualifications: <br><ul><li>University degree in electrical engineering or equivalent&nbsp;</li><li>5+ years experience within designing LV systems</li></ul><br>Skills: <br><ul><li>Proficient in designing in:&nbsp;</li><li><ul><li>Autocad</li><li>Revit</li><li>E-Plan&nbsp;</li><li>Etap&nbsp;</li></ul></li><li>Data centre project experience is a big advantage&nbsp;</li><li>Familiar with IEC Standards and regulations&nbsp;</li><li>Excellent problem solving skills&nbsp;</li><li>Fluent speaking and writing in English</li><li>Good communicator and presentation skills</li><li>Self-motivated and takes ownership on results</li><li>Works well within a fast-paced environment&nbsp;</li></ul><br><p><strong><span><span>Living and Working in Dubai:</span></span></strong></p><br><br><p><span>Dubai is an internationally connected city that offers strong professional opportunities within a truly global environment. Living and working in Dubai means being part of a diverse, forward‑looking business community, supported by modern infrastructure, excellent connectivity, and a well‑established expatriate ecosystem.</span></p><br><br><p>At Eaton, employees based in Dubai are part of a stable, well‑governed organization that brings together global teams, clear ways of working, and the flexibility needed to support both performance and long‑term career development.</p><br><br><br><p><span><span>We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age,&nbsp;colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.&nbsp;</span></span></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Introduction ATOM is a leading end-to-end, integrated insurance operating system built on the latest technology stack.<br> ATOM enables MGAs, Brokers and Insurers to automate the entire life cycle of the insurance process incorporating not only insurance underwriting and claims handling but also all associated support and corporate activities.<br> Based in one of the most innovative areas of Dubai, the DIFC Innovation Hub, a dynamic group of more than 40 passionate and dedicated insurance and software professionals are on a mission to take the specialty insurance industry to the next level.<br> We are looking for an experienced Full stack Engineer to join our growing team!<br> Job Purpose The Full Stack Product Engineer builds and owns end-to-end solutions across the ATOM platform — spanning user interfaces, backend services, APIs, AWS infrastructure, and relational data models.<br> You'll work closely with Product Owners, designers, and engineers to translate ideas into working software and use modern development practices, including AI-assisted tools, to ship quickly and reliably.<br> Specific Duties and Responsibilities Full Stack Engineering Build and maintain end-to-end product features across frontend, backend, database, and cloud layers.<br> Develop scalable web applications using React on the frontend and Node.<br>js with NestJS or Express on the backend.<br> Design and implement RESTful APIs, backend services, and integration points.<br> Contribute to both monolithic and microservices architectures.<br> AWS Cloud Development Design, build, and operate cloud-native applications on AWS using services such as Lambda, Step Functions, ECS, S3, API Gateway, SES, SNS, SQS, Load Balancers, and Amazon Aurora PostgreSQL.<br> Apply secure development practices across application and infrastructure layers.<br> Database Engineering Design, query, and optimize relational database structures in PostgreSQL / Amazon Aurora — including schema design, indexing, and performance tuning.<br> Write efficient SQL and work with ORMs such as Prisma, TypeORM, or Sequelize.<br> Product Collaboration Work with Product Owners, designers, and stakeholders to shape requirements and deliver usable solutions.<br> Rapidly prototype ideas to validate concepts and accelerate delivery.<br> Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).<br> Strong proficiency in JavaScript/TypeScript, React, Node.<br>js, HTML5, and CSS3.<br> Hands-on experience with backend frameworks such as NestJS or Express.<br>js. Solid experience developing applications on AWS, including Lambda, Step Functions, ECS, S3, API Gateway, SES, SNS, SQS, Load Balancers, and Aurora PostgreSQL.<br> Strong SQL and RDBMS fundamentals — schema design, indexing, query optimization, transactions, and data modelling.<br> Hands-on experience with ORMs such as Prisma, TypeORM, or Sequelize.<br> Strong problem-solving and debugging skills.<br></span> </div>