DevOps Engineer Jobs in UAE

<p><strong>Role Overview</strong></p><p>We are looking for an experienced <strong>Senior Java Developer</strong> with strong expertise in <strong>backend development and application/API security</strong> to design, develop, and maintain scalable, secure, and reliable backend services and REST APIs.</p><p><br></p><p>The ideal candidate will have strong hands-on experience with <strong>Java, Spring Boot, Spring Security, authentication, authorization, OAuth 2.0, JWT, RBAC, microservices, and secure API development</strong>. The candidate will work closely with frontend, mobile, QA, DevOps, security, and product teams to build enterprise-grade applications.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain backend services using <strong>Java and Spring Boot</strong>.</li><li>Design and develop scalable <strong>RESTful APIs and microservices</strong>.</li><li>Implement business logic, workflows, backend integrations, and third-party API integrations.</li><li>Develop secure APIs for mobile and web applications.</li><li>Implement <strong>authentication and authorization</strong> mechanisms using Spring Security and industry-standard security protocols.</li><li>Implement <strong>RBAC, OAuth 2.0, JWT, token validation, access control, and API security</strong>.</li><li>Apply secure coding practices and identify and remediate application security vulnerabilities.</li><li>Work with relational and NoSQL databases to design efficient data models and queries.</li><li>Implement asynchronous processing and messaging using technologies such as <strong>Kafka or RabbitMQ</strong>.</li><li>Optimize application performance, scalability, availability, and reliability.</li><li>Develop unit and integration tests and maintain high code quality.</li><li>Troubleshoot production issues and perform root-cause analysis.</li><li>Implement logging, monitoring, auditing, and security controls.</li><li>Collaborate with Android, frontend, QA, DevOps, security, and product teams.</li><li>Participate in code reviews, technical discussions, and architectural decisions.</li><li>Follow Agile development practices and contribute to technical documentation.</li></ul><p><br></p><p><strong>Required Skills</strong></p><ul><li><strong>8+ years of professional experience in Java backend development.</strong></li><li>Strong hands-on experience with <strong>Java and Spring Boot</strong>.</li><li>Strong experience with <strong>Spring Security</strong>.</li><li>Strong understanding of <strong>Authentication &amp; Authorization</strong>.</li><li>Hands-on experience with <strong>OAuth 2.0, JWT, and RBAC</strong>.</li><li>Strong knowledge of <strong>REST APIs, microservices, and secure API design</strong>.</li><li>Good understanding of <strong>API security and secure coding practices</strong>.</li><li>Knowledge of common <strong>OWASP/API security vulnerabilities</strong>.</li><li>Experience with <strong>JPA/Hibernate</strong>.</li><li>Strong SQL knowledge with <strong>PostgreSQL/MySQL</strong>.</li><li>Experience with <strong>Redis</strong> and/or messaging systems such as <strong>Kafka/RabbitMQ</strong>.</li><li>Understanding of <strong>HTTPS/TLS</strong> and secure communication.</li><li>Experience with <strong>Git and CI/CD</strong> practices.</li><li>Familiarity with <strong>Docker</strong> and cloud platforms such as AWS, Azure, or GCP.</li><li>Strong debugging, troubleshooting, and problem-solving skills.</li></ul><p><br></p><p><strong>Preferred Skills</strong></p><ul><li>Experience developing backend systems for <strong>mobile or enterprise applications</strong>.</li><li>Experience with high-volume APIs and distributed systems.</li><li>Knowledge of <strong>event-driven architecture</strong>.</li><li>Experience with application performance optimization and scalability.</li><li>Experience with security vulnerability assessment and remediation.</li><li>Knowledge of <strong>OpenID Connect (OIDC)</strong> and service-to-service authentication.</li><li>Experience with fintech, banking, payments, or other regulated environments.</li><li>Basic understanding of <strong>device-management or enterprise mobility platforms</strong>.</li></ul><p><br></p><p><strong>Education</strong></p><p>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.</p><p><br></p><p><strong>Key Competencies</strong></p><ul><li>Strong backend architecture and design skills.</li><li>Strong understanding of application and API security.</li><li>Ability to write clean, maintainable, secure, and scalable code.</li><li>Strong problem-solving and analytical skills.</li><li>Good communication and collaboration skills.</li><li>Ability to work independently in a fast-paced Agile environment.</li><li>Strong ownership of production systems and technical deliverables.</li></ul><p><br></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>As a Data &amp; AI Engineer you will contribute across the end-to-end data development lifecycle for data ingestion, cleansing, validation, transformation, curation and presentation.<br> Reporting to the Principal Data &amp; AI, you will work within a talented team of data engineers to deliver high-impact, secure data and AI solutions that support the ambitious goals of ATOM’s customers and stakeholders.<br> Hands-on Engineering &amp; Delivery Develop, test, and maintain robust ETL/ELT pipelines to ingest and transform data from multiple sources into the data lake and data marts.<br> Implement robust web scraping solutions.<br> Optimise performance and cost of data workloads (partitioning, compression, query tuning, etc).<br> Data Modelling &amp; Platform Contribution Apply data modelling standards (dimensional models, star/snowflake schemas, canonical data models) to support reporting, analytics, and AI/ML use cases.<br> Contribute to the evolution of the cloud data architecture under the guidance of the Principal Data &amp; AI Analytics, BI, ML &amp; AI Enablement Work with data scientists, ML engineers, and analytics teams to support the productionisation of ML/AI and LLM-based solutions through reliable data pipelines and feature stores.<br> Expose curated, well-documented datasets to enable self-service reporting, dashboards, and analytical tools.<br> Quality, Governance &amp; Security Follow data governance, data quality, and metadata management practices across the platform.<br> Apply security best practices (IAM roles and policies, encryption at rest and in transit, row/column-level security, auditing and monitoring).<br> Collaboration &amp; Ways of Working Partner with product, engineering, and business stakeholders to understand data requirements and translate them into scalable technical solutions.<br> Contribute to code reviews, documentation, testing, and DevOps/CI-CD practices, adhering to clean code, reusable components, version control, and observability standards.<br> Work in an international environment Innovation in FinTech Private Health Insurance Hybrid Working Model Training &amp; Development Performance Bonus KNOWLEDGE AND SKILLS Hands-on experience as a data engineer with focus on Snowflake, Databricks, Azure, GCP and/or AWS platforms.<br> Strong programming skills in Python, SQL and other relevant languages.<br> Proven experience in developing ETL/ELT pipelines using various technologies, including but not limited to AWS Glue, dbt, Informatica, Talend, Python, SQL, etc.<br> Working knowledge of SAP HANA / SAP HANA Cloud data modelling, XS Engine, Calculation Views, SDI/SDA is a strong plus.<br> Experience with analytical frontend tools (e.<br>g. MicroStrategy, Power BI, Tableau, Spotfire, SAP Analytics Cloud).<br> Exposure to Large Language Models, generative AI, and intelligent agents, including hands-on experience building Agentic AI workflows and automations using tools such as n8n, LangChain / LangGraph, Make (Integromat), Zapier AI, CrewAI, or similar orchestration frameworks.<br> Experience delivering CI/CD and DevOps capabilities in a data environment.<br> A bachelor’s or master’s degree in computer science, Statistics, Mathematics or related.<br> A collaborative, proactive problem solver with strong communication skills and the ability to work effectively across diverse teams.<br> At minimum 5 years of experience in a similar role.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><b>Discover the Opportunity</b></p><br><p>We are seeking a<span>&nbsp;AI Software Architect</span>&nbsp;to join a unique tech venture. The company focuses on cutting edge applications centered around security, data privacy, and AI.</p><br><p>This role offers exceptional long term stability alongside the fast paced innovation of an agile startup environment. You will work alongside a lean tech team, reporting directly to the Tech Product Manager while taking ownership of core software architecture, AI architecture, and hands on development.<br></p><br><p><b>Discover the Role</b></p><br><p>As a Senior AI Software Architect, you will balance technical strategy with active development in a roughly equal split. You will take end to end architectural ownership of user centric applications, AI solutions, and cloud infrastructure supporting a modular platform.<br></p><br><p>You will lead the integration of&nbsp;<span>LLMs, RAG pipelines, and agentic AI systems</span>&nbsp;into reliable, scalable production applications while ensuring cloud native services remain secure, compliant, and observable. This is an individual contributor position designed for a skilled builder who thrives in a fast moving environment.</p><br><p>​</p><br><p><b>Discover the Responsibilities</b></p><br><ul><li><p>Take complete ownership of software, AI, and platform architecture from initial design through production deployment.</p><br></li><li><p>Spend half your time writing hands on code, specifically building and integrating AI solutions using&nbsp;<span>Python, LLMs, RAG, and agentic AI.</span></p><br></li><li><p>Design, deploy, and manage multi tenant microservices infrastructure across AWS cloud environments and&nbsp;<span>Amazon EKS/Kubernetes clusters.</span></p><br></li><li><p>Build and integrate production grade LLM applications, including RAG pipelines, AI agents, and model integrations.</p><br></li><li><p>Embed zero trust networking, privacy by design, and strict security controls across platforms.</p><br></li><li><p>Build and optimize continuous deployment pipelines, automated testing, infrastructure as code, and full stack observability layers.</p><br></li><li><p>Work extensively with&nbsp;<span>DevOps and MLOps tooling</span>, including Terraform, Kubernetes, EKS, CI/CD, and cloud native deployment practices.</p><br></li><li><p>Work on production grade software and AI products built directly for external commercial users.</p><br></li><li><p>Identify and resolve system performance bottlenecks, technical debt, and scalability limitations.<br></p><br></li></ul><p><b>Discover the Requirements</b></p><br><ul><li><p>Minimum 5 to 7 years of relevant experience in software architecture and hands on engineering.</p><br></li><li><p>Strong hands on development skills in&nbsp;<span>Python</span>, with proven experience building and integrating AI solutions.</p><br></li><li><p>Proven commercial experience working with&nbsp;<span>LLMs, RAG, AI agents, or agentic AI architectures.</span></p><br></li><li><p>Proven experience building commercial SaaS products sold directly to customers.</p><br></li><li><p>Deep technical knowledge of&nbsp;<span>AWS and Kubernetes</span>, with hands on experience using&nbsp;<span>Amazon EKS.</span></p><br></li><li><p>Solid grasp of&nbsp;<span>DevOps and MLOps practices, Terraform/infrastructure as code, CI/CD, and cloud native tooling.</span></p><br></li><li><p>Strong understanding of zero trust security, data encryption, and data residency standards.</p><br></li><li><p>Experience designing scalable microservices and production grade AI applications.</p><br></li><li><p>Experience in fast paced startup or scaleup environments is strongly preferred.</p><br></li><li><p>Strong understanding of how to take AI/ML solutions from development through to reliable production deployment.</p><br></li></ul><p>​</p><br><p>Location:&nbsp;Dubai Media City (Onsite)</p><br><p>Benefits:&nbsp;Medical insurance, flight allowance, discretionary bonus, birthday gift after one year</p><br><br> </div>

<ul><li><p>We are looking for an experienced AI Engineer responsible for designing, developing, and deploying Generative AI and Agentic AI solutions that support enterprise-scale business use cases. The role will build intelligent systems that integrate complex backend services and client-facing applications across web, mobile and enterprise platforms. The primary responsibility is to design and develop AI-powered applications, autonomous agents and multi-agent workflows while coordinating with cross-functional teams across architecture, engineering, product and business functions. A commitment to collaborative problem solving, sophisticated design and product quality is essential. This role requires strong hands-on engineering experience, practical working knowledge of modern agent frameworks, and the ability to deliver secure, scalable, observable and governed AI solutions in cloud-native environments.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Minimum Qualification</p><ul><li><p>Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence or a related discipline.</p></li><li><p>Relevant cloud, AI engineering, machine learning or architecture certifications are preferred.</p></li></ul><p>Minimum Experience</p><ul><li><p>Senior professional with around 10 years of total software engineering, architecture, cloud or platform engineering experience.</p></li><li><p>Minimum 3+ years of relevant hands-on AI Engineering experience, including Generative AI and practical LLM-based application delivery.</p></li><li><p>Strong proficiency in Python, including NumPy, pandas, FastAPI and hands-on experience with PyTorch or TensorFlow.</p></li><li><p>Hands-on experience with LangChain and LangGraph; mandatory working experience with Microsoft Semantic Kernel and Microsoft AutoGen.</p></li><li><p>Experience implementing RAG using embeddings, vector databases, semantic search, retrieval optimization and model evaluation techniques.</p></li><li><p>Experience deploying and managing models using Amazon Bedrock, Azure OpenAI Service and Google Vertex AI.</p></li><li><p>Hands-on experience with microservices, containers, APIs, event-driven architecture, cloud-native services and evolutionary architecture practices.</p></li><li><p>Experience managing and deploying AI workloads on Kubernetes in cloud-native and/or hybrid environments.</p></li><li><p>Experience with CI/CD tools such as Jenkins or GitLab, DevOps toolchains, configuration management and cloud/on-prem deployment pipelines.</p></li><li><p>Experience setting up pipelines with static code analysis, requirement tagging in Jira, quality gates and release governance.</p></li><li><p>Experience operating monitoring tools for traditional infrastructure, cloud environments and AI-enabled business applications.</p></li><li><p>Strong hands-on problem-solving mindset with the ability to analyze trade-offs and deliver sustainable, secure and high-quality solutions.</p></li></ul><p>Key Technical Skills</p><ul><li><p>Generative AI, Agentic AI, autonomous agents, multi-agent orchestration and workflow-based AI systems.</p></li><li><p>LLMs, embeddings, vector databases, RAG, semantic search, model evaluation, guardrails, observability and AI governance.</p></li><li><p>Semantic Kernel, AutoGen, LangChain, LangGraph and similar agent frameworks.</p></li><li><p>Python, FastAPI, PyTorch/TensorFlow, REST APIs, microservices, serverless functions and event-driven integration.</p></li><li><p>Azure, AWS, Kubernetes, containers, CI/CD, DevOps automation, monitoring and secure software delivery.</p></li></ul><p>Behavioural / Leadership Skills</p><ul><li><p>Strong collaborative mindset for agile architecture and decentralized decision making.</p></li><li><p>Proactive, positive and growth-oriented leadership style with the ability to motivate engineers and foster craftsmanship.</p></li><li><p>Strong communication, stakeholder engagement and influencing skills across product, business, architecture and engineering teams.</p></li><li><p>Analytical, system-thinking and pragmatic problem-solving approach with commitment to product quality.</p></li></ul><p>Skills</p><p>Generative AI</p><p>Python</p><p>Kubernetes</p></li></ul>

<strong>Position: Back-End Developer<br><br></strong><strong>Requirements<br><br></strong><ul><li>Develop, troubleshoot, and debug microservices</li><li>Manage cutting-edge technologies to improve legacy services</li><li>Collaborate with DevOps engineers to develop microservices</li><li>Gather and address technical requirements</li><li>Provide training and support to internal teams</li><li>Build reusable code and libraries for future use</li><li>Typescript and OOP experience is a must</li><li>Follow emerging technologies</li><li>Teamwork skills with a problem-solving attitude</li><li>Strong organizational skills to manage multiple tasks and meet deadlines</li><li>Excellent analytical and time management skills<br><br><br></li></ul><strong>Required Skills<br><br></strong><ul><li>Azure Platform</li><li>Git</li><li>Cloud Messaging Services </li><li>Event Driven Development (EDD)</li><li>Microservice Architecture</li><li>MongoDB</li><li>NestJS</li><li>NodeJS</li><li>OOP</li><li>TypeScript</li><li>Websocket <br><br><br></li></ul><strong>Preferred Skills<br><br></strong><ul><li>Azure Service Bus</li><li>Financial Transactions </li><li>PubSub<br><br><br></li></ul>About the Role:<br><br><ul><li>Location: Dubai, Business Bay, Opus Tower</li><li>Working Time: Monday to Friday 10:00 am to 7:00 pm, Saturday 10:00 am to 2:00 pm, Sundays off<br></li></ul>

<p>Software Engineering</p><p>Full Stack</p><ul><li>Degree in a relevant field such as Computer Science, Computer Engineering or Software Engineering.</li><li>Experience of developing advanced/Complex technology Software solutions for large, complex organisations in a multi-functional environment.</li><li>Solid experience in data modelling, systems design and expert coder in the technology listed in the skills category</li><li>Experience in providing production support for business solutions using ITIL framework</li><li>Deep experience in Full stack development capabilities covering all layers ( i.e UI/Middleware and</li></ul><p>Databases)</p><ul><li>Expert in Technology technical evaluation, vendor selection and technology vendor management</li></ul><p>using data driven models</p><ul><li>Implementation of contemporary engineering practices like lean software development, test driven</li></ul><p>development, continuous integration and continuous deployment</p><ul><li>Establishing and managing leveraging technology platforms for DevOps, Code Management, Testing,</li><li>Continuous Integration and Continuous Deployment for ensuring robust and reliable code base is always</li></ul><p><br></p>

<ul><li>Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools like Terraform or CloudFormation, ensuring consistency and scalability.</li><li>Design, implement, and maintain CI/CD pipelines to enable rapid and reliable software delivery, integrating testing and deployment stages.</li><li>Monitor system performance, troubleshoot issues, and implement proactive solutions to ensure high availability and optimal resource utilization.</li><li>Manage and secure cloud environments (AWS, Azure, GCP), optimizing costs and ensuring compliance with security best practices.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li><li>3+ years of hands-on experience in a DevOps or SRE role, demonstrating a track record of success.</li><li>Proficiency in at least one major cloud platform (AWS, Azure, GCP) and associated services.</li><li>Strong understanding of CI/CD principles and experience with tools like Jenkins, GitLab CI, or CircleCI.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><ul><li><span>Lead end-to-end design and development of scalable applications <br></span></li><li><span>Define technical architecture, coding standards, and best practices<br></span></li><li><span>Guide and mentor engineers through design reviews and code reviews<br></span></li><li><span>Translate business requirements into technical solutions<br></span></li><li><span>Drive delivery of features with focus on quality, performance, and timelines<br></span></li><li><span>Troubleshoot and resolve complex production issues<br></span></li><li><span>Collaborate with Product, QA, DevOps, and stakeholders for successful delivery<br></span></li><li><span>Continuously improve engineering processes, automation, and system reliability<br></span></li></ul><br><span>Requirements<b><u>Technical Skills</u></b><br><br></span><ul><li><span>Frontend: React.js, JavaScript/TypeScript, HTML, CSS<br></span></li><li><span>Backend: Node.js, REST APIs, Microservices<br></span></li><li><span>Architecture: System Design, Scalable Distributed Systems<br></span></li><li><span>Engineering Practices: Agile, Code Reviews, Design Patterns, Performance Optimization<br></span></li><li><span>Tools: Git, CI/CD, Monitoring &amp; Logging<br></span></li></ul><b><u>Core Strengths</u></b><br><br><ul><li><span>Strong ownership and accountability <br></span></li><li><span>Hands-on technical leadership<br></span></li><li><span>Problem-solving and debugging expertise<br></span></li><li><span>Cross-functional collaboration<br></span></li><li><span>Focus on clean, scalable, and maintainable solutions<br></span></li><li><span>Ability to balance delivery with engineering excellence<br></span></li></ul><br> </div>

<p>Job Description</p> <br> <p>The Senior MLOps Engineer is responsible for operationalising and maintaining machine learning, Generative AI, and agent-based solutions in production. The role focuses on ensuring that AI services are deployed through controlled pipelines, monitored continuously, tested systematically, and operated with the reliability, security, scalability, and cost discipline required for enterprise use.</p> <p>Working under the Principal ML Platform Engineer, the role provides the operational discipline required to move AI solutions from experimentation into stable production service. This includes managing CI/CD, versioning, observability, model and agent monitoring, automated testing, incident response, release controls, and performance reporting. The Senior MLOps Engineer is expected to identify failures or degradation early, strengthen production runbooks, and continuously improve the effectiveness and resilience of deployed AI systems. Alongside this specialism, every engineer in the Strategy and Data team is expected to own use cases end-to-end, taking them from problem definition through to a deployed, adopted solution.</p> <p> </p> <p>Responsibilities and Duties</p> <br> <ul> <li>Design, build, and maintain production-grade MLOps pipelines covering deployment, release management, monitoring, automated testing, versioning, rollback, retraining support, and decommissioning.</li> <li>Establish and operate CI/CD pipelines for machine learning, Generative AI, and agent-based workloads using appropriate enterprise tooling such as Azure DevOps, GitHub, GitLab CI, Jenkins, or equivalent platforms.</li> <li>Package, containerise, deploy, and maintain models, APIs, AI agents, RAG workflows, and inference services across controlled development, test, staging, and production environments.</li> <li>Implement automated testing for model services, prompts, agent workflows, APIs, data dependencies, deployment packages, and release gates to reduce production risk and improve service reliability.</li> <li>Monitor model, agent, and service performance, including latency, throughput, error rates, hallucination or response-quality signals, drift indicators, data quality issues, dependency failures, and user-impacting incidents.</li> <li>Develop observability dashboards, alerts, logs, traces, and health checks that provide early warning of failures, degradation, cost anomalies, security risks, or operational instability.</li> <li>Maintain model and agent versioning, artifact repositories, configuration records, environment definitions, dependency controls, and release documentation to support reproducibility and auditability.</li> <li>Support production incident management for AI services, including triage, root-cause analysis, remediation, escalation, post-incident review, and preventive improvement actions.</li> <li>Prepare clear performance and operational reporting covering service health, reliability, release quality, incident trends, utilisation, cost, and improvement actions for technical and management stakeholders.</li> <li>Monitor cloud and AI service consumption, identify cost drivers, recommend optimisation opportunities, and support capacity planning for production AI workloads.</li> <li>Work with AI engineers, data engineers, software engineers, IT, and security teams to ensure deployments follow approved architecture, security, privacy, responsible AI, and governance standards.</li> <li>Support integration between Snowflake, Microsoft Azure, data pipelines, vector stores, model services, agent orchestration layers, monitoring tools, and downstream enterprise applications.</li> <li>Maintain operating procedures, runbooks, release checklists, escalation paths, environment standards, and reusable deployment templates to strengthen the organisation s production AI capability.</li> <li>Continuously improve the stability, scalability, security, and effectiveness of production AI systems, ensuring that deployed solutions remain aligned with business priorities and operational needs.</li> <li>Take assigned use cases through each stage, from framing the problem with business stakeholders and preparing data, to building, evaluating and deploying the solution and tracking its adoption and value, working within the team's architecture and engineering standards.</li> </ul> <br> <p>Knowledge, Skills and Experience</p> <br> <ul> <li>8+ years of relevant experience across MLOps, DevOps, platform engineering, data engineering, software engineering, or machine learning engineering, with direct exposure to production AI, analytics, or data services.</li> <li>Strong practical experience with Python, SQL, Git/GitHub, MLflow, Azure AI Foundry, Snowflake/Snowpark, Docker, Kubernetes, FastAPI, Airflow, Azure Data Factory, Azure Data Lake, Azure Container Apps, Microsoft Azure, Entra ID, Key Vault, Private Link, Terraform, REST APIs, Linux environments, cloud deployment patterns, and production support practices.</li> <li>Demonstrated experience operating CI/CD pipelines, release controls, branching strategies, pull requests, automated testing, artifact management, environment promotion, and rollback processes.</li> <li>Hands-on experience deploying and operating containerised AI services using Kubernetes, Azure Kubernetes Service, Azure App Service, Azure Functions, or equivalent platforms.</li> <li>Practical knowledge of Microsoft Azure services relevant to AI and MLOps, including Azure Machine Learning, Azure AI Foundry, Azure OpenAI, Azure Monitor, Application Insights, Log Analytics, Key Vault, Storage, and networking controls.</li> <li>Experience with Snowflake or equivalent cloud data platforms, including integration with model training, inference services, feature access, orchestration layers, and downstream applications.</li> <li>Familiarity with MLOps and LLMOps practices such as MLflow, model registries, experiment tracking, model artifact management, prompt evaluation, agent monitoring, vector stores, embeddings, and RAG workflow operations.</li> <li>Strong understanding of observability, including metrics, logs, traces, alerts, service-level indicators, drift monitoring, model degradation, inference latency, throughput, error rates, and retraining triggers.</li> <li>Experience supporting Generative AI or agent-based solutions preferred, including prompt and response evaluation, orchestration monitoring, tool-use tracking, guardrail monitoring, and endpoint management.</li> <li>Strong understanding of secure engineering practices, including identity and access management, secrets management, private endpoints, vulnerability management, dependency control, secure API deployment, and environment isolation.</li> <li><br></li></ul> <p> </p> <p> </p><p><strong>Desired Candidate Profile</strong></p><ul> <li>8+ years of relevant experience across MLOps, DevOps, platform engineering, data engineering, software engineering, or machine learning engineering, with direct exposure to production AI, analytics, or data services.</li> <li>Strong practical experience with Python, SQL, Git/GitHub, MLflow, Azure AI Foundry, Snowflake/Snowpark, Docker, Kubernetes, FastAPI, Airflow, Azure Data Factory, Azure Data Lake, Azure Container Apps, Microsoft Azure, Entra ID, Key Vault, Private Link, Terraform, REST APIs, Linux environments, cloud deployment patterns, and production support practices.</li> <li>Demonstrated experience operating CI/CD pipelines, release controls, branching strategies, pull requests, automated testing, artifact management, environment promotion, and rollback processes.</li> <li>Hands-on experience deploying and operating containerised AI services using Kubernetes, Azure Kubernetes Service, Azure App Service, Azure Functions, or equivalent platforms.</li> <li>Practical knowledge of Microsoft Azure services relevant to AI and MLOps, including Azure Machine Learning, Azure AI Foundry, Azure OpenAI, Azure Monitor, Application Insights, Log Analytics, Key Vault, Storage, and networking controls.</li> <li>Experience with Snowflake or equivalent cloud data platforms, including integration with model training, inference services, feature access, orchestration layers, and downstream applications.</li> <li>Familiarity with MLOps and LLMOps practices such as MLflow, model registries, experiment tracking, model artifact management, prompt evaluation, agent monitoring, vector stores, embeddings, and RAG workflow operations.</li> <li>Strong understanding of observability, including metrics, logs, traces, alerts, service-level indicators, drift monitoring, model degradation, inference latency, throughput, error rates, and retraining triggers.</li> <li>Experience supporting Generative AI or agent-based solutions preferred, including prompt and response evaluation, orchestration monitoring, tool-use tracking, guardrail monitoring, and endpoint management.</li> <li>Strong understanding of secure engineering practices, including identity and access management, secrets management, private endpoints, vulnerability management, dependency control, secure API deployment, and environment isolation.</li> <li>Knowledge of responsible AI, data privacy, model governance, auditability, human oversight, and regulated-environment controls, preferably in healthcare, insurance, financial services, or another compliance-sensitive sector.</li> <li>Experience with infrastructure as code, automation scripting, and configuration management tools such as Terraform, Bicep, ARM templates, Ansible, or similar tools preferred.</li> <li>Ability to investigate incidents, identify root causes, assess operational risk, communicate technical findings clearly, and drive practical remediation actions.</li> <li>Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related discipline.</li> <li>Relevant certifications in cloud engineering, DevOps, MLOps, data engineering, cybersecurity, or machine learning preferred.</li> <li>Strong analytical, documentation, stakeholder management, and communication skills, with the ability to translate production performance, risks, and improvement priorities into clear management reporting.</li> </ul>

<ul><li>7+ years on Dynamics 365 / Dataverse, with at least two end-to-end Customer Service implementations as technical lead (cases, queues, unified routing, SLA KPIs, knowledge base, Customer Voice surveys)</li><li>Hands-on across the stack: model-driven apps, plugins/Custom APIs (C#), Power Automate, PCF/JavaScript web resources, Dataverse security model (business units, teams, roles)</li><li>Solution-layering and ALM in a multi-vendor environment: managed solutions, publisher conventions, Azure DevOps pipelines, environment strategy , able to build on another vendors base solution without breaking it</li><li>Integration design through Azure API Management: OIDC/UAE PASS-style identity, REST/OData, async patterns, contract testing against third-party releases</li><li>Data migration into Dataverse (SSIS/KingswaySoft or equivalent), including migration from on-premises Dynamics</li><li>Certification: PL-400 Power Platform Developer; PL-600 Solution Architect or MB-230 Customer Service strongly preferred</li><li>Arabic/English bilingual UI and data (RTL, language packs, translated option sets)</li></ul>

<ul><li>Design and implement robust database schemas and data models that support complex application requirements and future scalability.</li><li>Develop, optimize, and maintain high-performance SQL queries, stored procedures, and functions to ensure efficient data retrieval and manipulation.</li><li>Administer and manage database systems, including installation, configuration, patching, and upgrades, ensuring optimal uptime and performance.</li><li>Implement and manage comprehensive backup, recovery, and disaster recovery strategies to safeguard critical data against loss.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>3–7+ years of hands-on experience with Informatica tools Strong experience in ETL development, data integration, data quality, and metadata management Proven track record in implementing data pipelines, data migration, and data warehousing solutions Experience working in Agile or DevOps environments is required</p><br><p>Informatica PowerCenter Informatica Data Quality (IDQ) Informatica PowerExchange Strong knowledge of SQL and PL/SQL Experience with Oracle and MSSQL Server databases Unix/Linux shell scripting Familiarity with data modeling tools such as Erwin or Visio</p>

<br><p>The purpose of the job is to use the required programming language to write, update and maintain programs to handle specific tasks.</p><p><br></p><p><br></p><p><strong>Responsibilities</strong></p><p><br></p><p><br></p><ul><li>Design, develop, and maintain Java-based applications (often using frameworks like Spring Boot or Hibernate)</li><li>Write clean, scalable, and well-documented code</li><li>Implement RESTful APIs and microservices</li><li>Translate business requirements into technical solutions</li><li>Participate in CI/CD pipelines using tools like Jenkins or GitLab</li><li>Deploy applications to environments (Dev, QA, UAT, Prod)</li><li>Work with containerization tools like Docker and orchestration like Kubernetes</li><li>Ensure smooth release cycles and rollback strategies</li><li>Design and optimize database queries (SQL/NoSQL)</li><li>Work with databases such as Postgres, Oracle Database, or MongoDB</li><li>Perform data migrations and ensure data integrity</li><li>Optimize performance (indexes, query tuning)</li><li>Work closely with QA, DevOps, business analysts, and stakeholders</li><li>Participate in Agile ceremonies (Scrum, stand-ups, sprint planning)</li><li>Review code (peer reviews, pull requests)</li><li>Document technical designs and APIs</li></ul><p><br></p><p><br></p><p><br></p>

<p>Job Purpose </p><p>At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers Fly Better . Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we're always at the forefront, pushing boundaries. We're on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the world s largest international airline and become a vital part of our cutting-edge information and technology team as Technical Manager DevSecOps Platform</p> <p>Join our DevSecOps and Automation team as a key technologist driving DevSecOps and Automation practices at both the product and program levels in this pivotal role you will be instrumental in designing implementing and optimizing our DevOps strategies to enhance efficiency scalability and reliability across our technology landscape Your expertise will help us streamline operations reduce time to market and continuously improve our processes. If you are passionate about leveraging the latest DevOps tools and methodologies to drive innovation and excellence we invite you to apply to play a crucial role in shaping the future of our technology initiatives at Emirates Group.</p> <p>As a Technical Manager DevSecOps Platform, you will manage the technical lifecycle of the relevant technologies and services under the technical manager responsibilities. Design, engineer, plan, implement, operate and support each technology, ensuring they meet business requirements and comply with corporate policy and standards. Provide documented operational processes and procedures for 1st and 2nd level operational support groups, as well as act as a centre of excellence and 3rd level support for the respective technologies. Ensure the respective technologies have optimum capacity and availability to meet the existing and future needs of the business. Manage and minimize risks within the respective technologies.<br> </p> <p> <strong>In this role you will:</strong> </p> <ul> <li>Define KPI s for the teams in line with departmental goals and objectives. Consistently meet or exceed agreed KPI s. Ensure all communications, reports and updates are accurate and consistently delivered in a timely manner. </li> <li>Ensure technologies comply with corporate security policies and procedures and all audit observations, risks and/or exceptions are identified and positively managed. Ensure all security and other operating system patches are promptly identified, reviewed, and assessed for their impact on the relevant environment and accordingly implemented on the relevant technologies. </li> <li>Responsible for providing 3rd level support for the relevant technology environment to the Incident and the Problem Management teams ensuring efficient root cause analysis is provided and avoiding reoccurrence of incidents. </li> <li>Collaborate closely with all IT teams to deliver products and services that contribute to the organization growth. </li> <li>Responsible for setting clear and consistent performance objectives, implementing performance management and development plans to ensure standards of performance and productivity are achieved and maintained enabling a high-performance culture. Manage the technical expertise within the team so that resources are appropriately and effectively allocated. Assign suitably qualified resources to projects to support the ongoing IT work programme. </li> <li>Identify and develop needed products or services by creating Business Cases, conducting RFT s and coordinating with various stakeholders inside IT as well as other departments. </li> <li>Develop and effectively manage the team and technology budgets. Manage total cost of ownership of products and services within the respective technologies ensuring costs are identified, defined and reported, to enable businesses to make informed financial decisions, positively contribute to the process of cost control and provide financial transparency. </li> <li>Work closely with teams responsible for vendor management and vendor contract negotiations, to ensure SLA s are monitored and managed and contracts are seen to be value for money. </li> <li>Provide technical consultancy and guidance to the team members and technical manager of other technologies, enterprise architects, and project teams. Providing technical expertise to the enterprise architecture team for defining architecture strategy and standards and design the relevant technologies accordingly. </li> <li>Identify areas of improvement in existing technologies including end of life technology replacement and evaluation of new relevant technologies within the relevant environment in accordance with industry trends. Drive projects through assigned project managers.</li> </ul><p><strong>Desired Candidate Profile</strong></p><p> <strong>To be considered for the role, you must meet the below requirements:</strong> </p> <ul> <li>Degree in Computer Science, Information Technology, Engineering or a related discipline (12+3 or equivalent).</li> <li>8+ years of technology experience in DevOps or DevSecOps environments.</li> <li>5+ years leading DevSecOps adoption, with hands-on expertise in GitLab CI/CD, Argo CD, Wiz, SonarQube, Nexus Pro, Vault, Liquibase and Dynatrace.</li> <li>Proven experience defining SRE strategy and practices for critical services, including SLIs, SLOs, error budgets, incident management and full-stack observability.</li> <li>Deep expertise in Kubernetes platforms, including OpenShift, AWS EKS and Azure AKS.</li> <li>Strong knowledge of hybrid and multi-cloud architecture across AWS, Azure and GCP.</li> <li>Advanced skills in Infrastructure as Code, automation and Internal Developer Platforms with self-service tooling and standardised deployment patterns.</li> <li>Broad understanding of enterprise infrastructure: networking, operating systems, hypervisors, storage, backup, databases, security and mainframe.</li> <li>Working knowledge of AI-enabled engineering (MCP, agentic AI, prompt and context engineering, vector databases).</li> <li>Familiarity with ITIL processes, architecture governance and IT cost management.</li> <li>Relevant certifications (e.g. CKA/CKS, AWS, Azure or GCP professional level) are advantageous.</li> </ul> <p> <br> <strong>Leadership Role: </strong>Yes </p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>At Freshfields, technology and innovation are embedded into how we work with our clients. We’re a global law firm with more than 5,500 people across 33 offices, and we are continuing to advance our innovation strategy including investment in key technology. Our partnerships with Anthropic and Google as well as the investment in Freshfields Lab and AI Academy are but a few examples.</p><br><p>Join us to work on some of the most exciting challenges at the intersection of law, technology and business.</p><br><br><p><b><u>Key Responsibilities</u></b></p><br><p>Solution Design &amp; Implementation</p><br><ul><li>Implement and support the development of Python-based services and applications.</li><li>Maintain and improve existing AI/ML solutions to enhance performance and scalability.</li><li>Support troubleshooting and resolve system issues as the designated technical specialist.</li><li>Set up systems implement solutions for ad-hoc data analysis and document processing exercises.</li><li>Collaborate with developers, product managers, business stakeholders, IT security, and architecture teams to gather and align requirements.</li></ul><p>Continuous Improvement &amp; Innovation</p><br><ul><li>Identify opportunities to enhance the firm’s technology stack and contribute to its evolution.</li><li>Introduce and promote best practices in AI/ML solution design, DevOps, and development.</li><li>Stay up to date with emerging technologies and trends in AI, ML, and software engineering.</li></ul><br><p><b><u>Skills and Experience</u></b></p><br><ul><li>Hands-on experience integrating LLM APIs across one or more enterprise providers, such as Azure OpenAI, Google Vertex AI or Anthropic, including structured outputs, tool use, streaming, retries, rate limits, model versioning and cost controls.</li><li>Understanding of traditional ML models and algorithms</li><li>Hands-on track record working with Python in a professional environment</li><li>Development &amp; DevOps: Hands-on experience with git/git-flow, containerization (Docker) and CI/CD pipelines (ideally Azure DevOps)</li><li>Communication: Strong English communication skills to engage with cross-functional stakeholders</li><li>Experience with retrieval-enabled and agentic document workflows, including repository navigation, hybrid search and RAG, metadata, OCR, chunking, source citation, tool use, structured outputs and document generation.</li><li>Experience building production services with Python and Django or comparable web frameworks, including APIs, streaming interfaces and asynchronous or background job processing.</li><li>Experience working with relational databases, ideally PostgreSQL, including schema design, migrations, and query performance.</li><li>Prior experience working in legal tech or professional services firms.</li><li>Knowledge of Azure Cloud, including AKS, Service Bus, Azure OpenAI and Form Recognizer</li><li>Experience with infrastructure-as-code tools (Terraform)</li><li>Experience in agile, fast paced environments</li><li>Understanding of the security and compliance requirements of a professional services firm.</li></ul><br><p><i>For individuals assigned and/or hired to work in New York and California or reporting to someone in those states, Freshfields is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the States of New York and California and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $250,000 to $400,000.</i></p><br><br><p><i>EEO Statement<br>Freshfields US LLP is proud to be an equal employment employer. Our policies and practices will be free from unlawful discrimination based upon race, color, ethnicity, religion, creed, sex (including pregnancy, childbirth or related medical conditions), national origin, citizenship, immigration status, ancestry, age, marital status, protected veteran status, military service, disability, medical condition, genetic information, sexual orientation, gender identity, or any basis prohibited under federal, state or local law. We strive to promote an atmosphere that encourages equal opportunities and prohibits discriminatory practices, including sexual harassment.<br>Disability Accommodation for Applicants to Freshfields US LLP<br>Freshfields US LLP is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the alternative email address below to contact us about your interest in employment at BusinessServicesRecruitment@Freshfields.com , or you can send your resume to BusinessServicesRecruitment@Freshfields.com , or you can call us at +1-212-277-4000.</i></p><br><br><p><i><b>UK Inclusion</b></i></p><br><p><i>Freshfields is an equal opportunities employer and all applications received by the firm will be considered by the firm on the basis of their merit alone and we welcome applications from all suitably qualified individuals regardless of background. All offers of employment will be conditional on the candidate having/securing the right to work in the UK and providing the firm with evidence of that right (as required by the Immigration, Asylum and Nationality Act 2006) prior to employment commencing.</i></p><br><p><i>Freshfields is a Ban the Box employer. We ask applicants to disclose criminal convictions only when a conditional job offer is made. A conviction does not automatically lead to withdrawal of the offer: we make decisions on a case by case basis and take a number of factors into account (eg the role you are applying for and the circumstances of the offence). You would have the opportunity to discuss the matter with us before we make a decision.</i></p><br><br> </div>

<p> <strong>About the Role:</strong> </p> <p>We are seeking an experienced Full Stack Engineer to join our dynamic team in Dubai. In this role, you will be responsible for designing, developing, and maintaining scalable web applications and APIs. You will work across the entire technology stack, collaborate with cross-functional teams, and mentor junior developers to deliver high-quality solutions that drive our business forward.</p> <p> <strong>Responsibilities:</strong> </p> <ul> <li>Design, develop, and maintain responsive web applications using modern frontend frameworks and backend services</li> <li>Collaborate with product managers, UX designers, and other stakeholders to gather requirements and translate them into technical specifications</li> <li>Implement RESTful APIs and microservices, ensuring high performance and reliability</li> <li>Write clean, maintainable, and well-tested code following best practices and coding standards</li> <li>Optimize application performance, scalability, and security</li> <li>Participate in code reviews, provide constructive feedback, and uphold code quality</li> <li>Manage CI/CD pipelines and automate deployment processes</li> <li>Troubleshoot and resolve production issues in a timely manner</li> <li>Mentor and support junior engineers, fostering a culture of continuous learning</li> </ul> <p> <strong>Required Qualifications:</strong> </p> <ul> <li>7+ years of professional experience as a Full Stack Engineer or similar role</li> <li>Proficiency in JavaScript/TypeScript and at least one modern frontend framework (React, Angular, or Vue)</li> <li>Strong experience with backend technologies such as Node.js, Python, Java, or .NET</li> <li>Solid understanding of relational and NoSQL databases (MySQL, PostgreSQL, MongoDB)</li> <li>Experience designing and consuming RESTful APIs and microservices architecture</li> <li>Hands-on experience with cloud platforms (AWS, Azure, or GCP)</li> <li>Familiarity with version control systems (Git) and branching strategies</li> <li>Experience with automated testing frameworks (unit, integration, e2e)</li> <li>Practical knowledge of CI/CD tools and pipelines (Jenkins, GitLab CI, GitHub Actions)</li> <li>Excellent problem-solving skills and attention to detail</li> <li>Strong communication and teamwork skills</li> </ul> <p> <strong>Preferred Qualifications:</strong> </p> <ul> <li>Experience with containerization and orchestration tools (Docker, Kubernetes)</li> <li>Hands-on with DevOps practices and infrastructure as code (Terraform, CloudFormation)</li> <li>Prior experience in Agile/Scrum environments</li> <li>Familiarity with performance tuning and caching strategies (Redis, Varnish)</li> <li>Experience with serverless architectures and functions (AWS Lambda, Azure Functions)</li> <li>Cloud certifications (AWS Certified Solutions Architect, Microsoft Azure Developer)</li> <li>Background in mentoring or leading engineering teams</li> </ul> Position Details <ul> <li>Position Title: Full Stack Engineers</li> <li>Location: Dubai, united arab emirates</li> <li>Industry: Aerospace</li> <li>Experience Required: 7+ years</li> </ul><p><strong>Desired Candidate Profile</strong></p><ul> <li>7+ years of professional experience as a Full Stack Engineer or similar role</li> <li>Proficiency in JavaScript/TypeScript and at least one modern frontend framework (React, Angular, or Vue)</li> <li>Strong experience with backend technologies such as Node.js, Python, Java, or .NET</li> <li>Solid understanding of relational and NoSQL databases (MySQL, PostgreSQL, MongoDB)</li> <li>Experience designing and consuming RESTful APIs and microservices architecture</li> <li>Hands-on experience with cloud platforms (AWS, Azure, or GCP)</li> <li>Familiarity with version control systems (Git) and branching strategies</li> <li>Experience with automated testing frameworks (unit, integration, e2e)</li> <li>Practical knowledge of CI/CD tools and pipelines (Jenkins, GitLab CI, GitHub Actions)</li> <li>Excellent problem-solving skills and attention to detail</li> <li>Strong communication and teamwork skills</li> </ul> <p> <strong>Preferred Qualifications:</strong> </p> <ul> <li>Experience with containerization and orchestration tools (Docker, Kubernetes)</li> <li>Hands-on with DevOps practices and infrastructure as code (Terraform, CloudFormation)</li> <li>Prior experience in Agile/Scrum environments</li> <li>Familiarity with performance tuning and caching strategies (Redis, Varnish)</li> <li>Experience with serverless architectures and functions (AWS Lambda, Azure Functions)</li> <li>Cloud certifications (AWS Certified Solutions Architect, Microsoft Azure Developer)</li> <li>Background in mentoring or leading engineering teams</li> </ul>

<p> <strong> Experience: 6 to 10 Years </strong> </p> <p>We are seeking an experienced <strong>Automation Test Engineer </strong>with strong expertise in Java, Selenium, API Testing, and Airline Reservation/Booking Systems. The ideal candidate should be currently working in a hands-on automation testing role and have experience testing AI-powered chatbots and Generative AI/LLM-based applications. The candidate will be responsible for designing, developing, and executing automated test frameworks while ensuring high-quality delivery across web applications, APIs, conversational AI platforms, and airline booking systems.</p> <p> <b>Job Responsibilities-</b> </p> <p> Design, develop, and maintain automation frameworks using Java and Selenium.<br> Create reusable automation scripts for web applications and integrate automated testing into CI/CD pipelines.<br> Design and execute API test cases using REST Assured, Postman, or similar tools.<br> Validate API functionality, integration points, performance, and security.<br> Perform end-to-end testing of airline booking workflows, including flight search, availability, reservation, ticketing, seat selection, ancillary services, payment, and check-in.<br> Test conversational AI and chatbot applications, including intents, entities, conversation flows, context retention, and responses.<br> Test Generative AI/LLM-based applications, including response accuracy, relevance, consistency, prompt variations, edge cases, and hallucination handling.<br> Perform responsible AI testing, including bias, toxicity, and safety validations.<br> Analyze test results, report defects, and contribute to continuous improvement of QA processes and automation frameworks.<br> Collaborate with Business Analysts, Product Owners, Developers, and AI Engineers and participate in Agile ceremonies.</p> <p> <strong>Required Skills-</strong> </p> <p> 6 10 years of experience in Automation Testing, with current hands-on experience in automation.<br> Strong expertise in Core Java, OOPs, Collections, and Selenium WebDriver.<br> Experience with TestNG/JUnit, Maven/Gradle, and automation framework development.<br> Strong experience in API automation using REST Assured and Postman.<br> Knowledge of Swagger/OpenAPI and JSON/XML validation.<br> Proven experience in Airline Booking/Reservation domain and flight booking lifecycle.<br> Experience with chatbot and conversational AI testing, including intent, entity, and conversation flow validation.<br> Experience testing AI/LLM-based applications, including prompt validation, response evaluation, hallucination testing, and responsible AI testing.<br> Experience with tools such as Jira, Git/GitHub, Jenkins/Azure DevOps, and SQL.<br> Strong understanding of Agile/Scrum methodologies and experience working in Agile teams.<br> Strong analytical, problem-solving, and defect-reporting skills.<strong> <br> </strong> </p> <p> <b>Qualifications-</b> </p> <p>Bachelor s/ Master s in CS/IT or equivalent practical experience.</p> <p></p><p><strong>Desired Candidate Profile</strong></p><p> <strong>Required Skills-</strong> </p> <p> 6 10 years of experience in Automation Testing, with current hands-on experience in automation.<br> Strong expertise in Core Java, OOPs, Collections, and Selenium WebDriver.<br> Experience with TestNG/JUnit, Maven/Gradle, and automation framework development.<br> Strong experience in API automation using REST Assured and Postman.<br> Knowledge of Swagger/OpenAPI and JSON/XML validation.<br> Proven experience in Airline Booking/Reservation domain and flight booking lifecycle.<br> Experience with chatbot and conversational AI testing, including intent, entity, and conversation flow validation.<br> Experience testing AI/LLM-based applications, including prompt validation, response evaluation, hallucination testing, and responsible AI testing.<br> Experience with tools such as Jira, Git/GitHub, Jenkins/Azure DevOps, and SQL.<br> Strong understanding of Agile/Scrum methodologies and experience working in Agile teams.<br> Strong analytical, problem-solving, and defect-reporting skills.<strong> <br> </strong> </p> <p> <b>Qualifications-</b> </p> <p>Bachelor s/ Master s in CS/IT or equivalent practical experience.</p>

<p><br></p> <p> <strong>About the Role</strong> </p> <p>We are seeking a Lead AI Business Consultant (AIBC) to join our growing team based in Abu Dhabi. This is a senior-level, strategic technical role for a thought leader with a strong background in AI and digital transformation. As an AIBC, you will engage with clients, partners, and internal stakeholders on high-impact AI opportunities and Proofs of Concept (PoCs), leading pre-sales conversations on the most complex and innovative AI-led solutions. </p> <p>You will play a key role in defining solution strategies, addressing business challenges, and influencing commercial and financial models through your insights and leadership. </p> <p> <strong>Key Responsibilities</strong> </p> <ul> <li> <p>Define and communicate AI solution strategy, including industry use cases, PoC design, and post-sales adoption. </p> </li> </ul> <ul> <li> <p>Collaborate with AI engineers and cross-functional teams to scope and deliver Proofs of Concept and strategic proposals. </p> </li> </ul> <ul> <li> <p>Act as a trusted advisor to customer stakeholders across business and technology, including C-suite and engineering leads. </p> </li> </ul> <ul> <li> <p>Lead client conversations around business transformation, digital innovation, and AI adoption. </p> </li> </ul> <ul> <li> <p>Translate complex concepts into clear, impactful messaging for both technical and non-technical audiences. </p> </li> </ul> <ul> <li> <p>Track and anticipate commercial and disruptive technology trends in the region and beyond. </p> </li> </ul> <ul> <li> <p>Represent the business through content creation, webinars, conference engagements, and industry leadership. </p> </li> </ul> <p> <strong>What You'll Bring</strong> </p> <p>Proven ability to define and deliver strategic value propositions aligned to client goals. </p> <p>Experience leading large-scale IT transformation or consulting engagements. </p> <p>Strong knowledge of enterprise architecture, data platforms, AI/ML, and cloud technologies. </p> <p>Excellent communication and stakeholder engagement skills, from boardroom to technical team. </p> <p>High EQ and gravitas to navigate complex environments and build long-term trusted relationships. </p> <p>A structured, analytical approach with a bias toward action and innovation. </p> <p> <strong>Qualifications and Experience</strong> </p> <p>Bachelor s degree in computer science or a related field (or equivalent experience). </p> <ul> <li> <p>10+ years of senior technical sales, solution consulting, or architecture experience. </p> </li> </ul> <ul> <li> <p>Experience selling to large enterprise accounts in a pre-sale s technical role. </p> </li> </ul> <ul> <li> <p>Deep understanding of AI, cloud, data, and cybersecurity technologies. </p> </li> </ul> <ul> <li> <p>Knowledge of DevOps, SDLC, hybrid cloud, containers, and modern IT architecture. </p> </li> </ul> <ul> <li> <p>Familiarity with GenAI and emerging technologies, including open-source and collaborative ecosystems. </p> </li> </ul> <ul> <li> <p>Experience in fast-moving, high-performance environments with a focus on measurable outcomes. </p> </li> </ul> <p> </p><p><strong>Desired Candidate Profile</strong></p><p>Proven ability to define and deliver strategic value propositions aligned to client goals. </p> <p>Experience leading large-scale IT transformation or consulting engagements. </p> <p>Strong knowledge of enterprise architecture, data platforms, AI/ML, and cloud technologies. </p> <p>Excellent communication and stakeholder engagement skills, from boardroom to technical team. </p> <p>High EQ and gravitas to navigate complex environments and build long-term trusted relationships. </p> <p>A structured, analytical approach with a bias toward action and innovation. </p> <p> <strong>Qualifications and Experience</strong> </p> <p>Bachelor s degree in computer science or a related field (or equivalent experience). </p> <ul> <li> <p>10+ years of senior technical sales, solution consulting, or architecture experience. </p> </li> </ul> <ul> <li> <p>Experience selling to large enterprise accounts in a pre-sale s technical role. </p> </li> </ul> <ul> <li> <p>Deep understanding of AI, cloud, data, and cybersecurity technologies. </p> </li> </ul> <ul> <li> <p>Knowledge of DevOps, SDLC, hybrid cloud, containers, and modern IT architecture. </p> </li> </ul> <ul> <li> <p>Familiarity with GenAI and emerging technologies, including open-source and collaborative ecosystems. </p> </li> </ul> <ul> <li> <p>Experience in fast-moving, high-performance environments with a focus on measurable outcomes. </p> </li> </ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Technical Architect <p><strong>Location:</strong> Abu Dhabi, UAE<br> <strong>Type:</strong> Permanent / Full-Time<br> <strong>Seniority:</strong> Senior Technical Leadership</p><br><br> Overview <p>We are seeking an experienced <strong>Technical Architect</strong> to lead the design, delivery, and evolution of enterprise-scale digital platforms. The successful candidate will combine deep hands-on engineering expertise with strong architectural leadership to design secure, scalable, cloud-native solutions across modern technology ecosystems.</p><br><br> <p>This role requires an individual who can define architecture strategy, guide engineering teams, engage with senior stakeholders, and ensure the delivery of high-quality technology solutions that support business growth and digital transformation initiatives.</p><br><br> Key Responsibilities Solution &amp; Enterprise Architecture <ul> <li>Define end-to-end architecture for enterprise applications, platforms, and digital products. </li><li>Produce architecture designs, technical specifications, integration patterns, and non-functional requirements. </li><li>Lead architecture decision-making and establish technical standards across projects. </li><li>Evaluate technology options, vendor solutions, and implementation approaches. </li><li>Balance architecture trade-offs across security, scalability, performance, maintainability, and cost. </li><li>Ensure alignment with enterprise architecture, security, and data governance standards. </li></ul> Technical Leadership <ul> <li>Provide hands-on technical leadership throughout the software development lifecycle. </li><li>Support engineering teams with solution design, code quality, best practices, and technical problem solving. </li><li>Drive adoption of modern engineering methodologies including Agile, DevOps, CI/CD, Test Automation, and Cloud-Native development. </li><li>Conduct technical reviews, architecture governance, and mentoring activities. </li><li>Lead proof-of-concepts, prototypes, and innovation initiatives. </li></ul> Delivery &amp; Stakeholder Engagement <ul> <li>Collaborate closely with Product, Engineering, Data, Security, and Delivery teams. </li><li>Translate business requirements into scalable technical solutions. </li><li>Support project estimation, planning, budgeting, and technology roadmaps. </li><li>Communicate architecture strategy and technical decisions to both technical and non-technical stakeholders. </li><li>Act as a trusted advisor for emerging technologies and digital transformation initiatives. </li></ul> Security &amp; Quality <ul> <li>Embed Security-by-Design and Privacy-by-Design principles into all solutions. </li><li>Ensure compliance with industry best practices and security frameworks. </li><li>Drive engineering excellence through Clean Code, SOLID principles, test automation, and continuous improvement. </li></ul> Required Experience <ul> <li>Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline. </li><li>10+ years of software engineering and solution architecture experience. </li><li>Proven track record designing and delivering high-volume, enterprise-grade digital platforms. </li><li>Experience leading architecture and technology delivery across large-scale transformation programs. </li><li>Previous experience working within cloud-native and distributed systems environments. </li></ul> Preferred Certifications <ul> <li>TOGAF </li><li>AWS Certified Solutions Architect </li><li>Microsoft Azure Architect Expert </li><li>Google Cloud Professional Cloud Architect </li></ul> Technical Skills Development &amp; Integration <ul> <li>Java (17+), Spring Framework </li><li>Python </li><li>JavaScript / TypeScript </li><li>RESTful APIs </li><li>Microservices Architecture </li></ul> Data &amp; Messaging <ul> <li>Kafka, RabbitMQ, ActiveMQ </li><li>SQL Databases (Oracle, PostgreSQL, SQL Server) </li><li>MongoDB and NoSQL technologies </li><li>Big Data technologies including Databricks, Spark, Flink, NiFi, and Snowflake </li></ul> Cloud &amp; Infrastructure <ul> <li>AWS, Azure, or Google Cloud Platform </li><li>Kubernetes and Containers </li><li>Cloud-native architecture patterns </li><li>Hybrid and on-premise deployment models </li><li>Linux and Git </li></ul> Security <ul> <li>OAuth 2.0 / OpenID Connect </li><li>Identity &amp; Access Management (IAM) </li><li>Encryption Standards </li><li>OWASP Top 10 </li><li>Threat Modelling </li></ul> Engineering Practices <ul> <li>Clean Code / SOLID Principles </li><li>TDD &amp; BDD </li><li>Agile Delivery (Scrum, Kanban, Lean) </li><li>CI/CD Pipelines </li><li>DevOps Best Practices </li></ul> Desirable Experience <ul> <li>Large-scale digital transformation programmes. </li><li>AI, Machine Learning, and Generative AI architecture. </li><li>High-volume transaction processing platforms. </li><li>Enterprise integration and event-driven architectures. </li><li>Redis, Cassandra, Neo4j, and advanced data platform technologies. </li><li>Product development, roadmaps, backlog management, and user-centred design. </li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Role Overview <p>We are looking for a <strong>Senior Software Engineer</strong> to develop, integrate, and maintain embedded flight-control software for advanced autonomous platforms.</p><br><br> <p>The role is highly hands-on, covering <strong>real-time embedded development, autopilot integration, hardware/software integration, platform security, system bring-up, debugging, validation, and testing</strong>. You will work with multidisciplinary engineering teams to deliver secure, reliable, production-quality software throughout the full development lifecycle.</p><br><br> Key Responsibilities <ul> <li>Develop and maintain embedded flight-control software using <strong>C/C++ for real-time systems</strong>. </li><li>Integrate software with <strong>sensors, communication interfaces, processors, and hardware peripherals</strong>. </li><li>Perform <strong>platform bring-up, software integration, debugging, validation, and performance optimization</strong>. </li><li>Participate in <strong>bench testing, simulation, hardware-in-the-loop activities, system integration, and field/flight testing</strong>. </li><li>Contribute to software architecture, technical design reviews, code reviews, and engineering documentation. </li><li>Integrate and maintain <strong>embedded security, secure boot, and trusted execution capabilities</strong>. </li><li>Use <strong>Git-based development workflows</strong>, including branching, merging, pull requests, code reviews, and release management. </li><li>Support <strong>CI/CD pipelines, automated builds, testing, software packaging, and firmware deployment</strong>. </li><li>Work closely with <strong>hardware, systems, security, test, manufacturing, and DevOps engineering teams</strong>. </li><li>Support software quality, defect resolution, static analysis, security verification, and continuous improvement activities. </li></ul> Experience <ul> <li><strong>8+ years of embedded software engineering experience</strong>. </li><li><strong>5+ years working with flight controllers, autopilot software, avionics, or comparable safety-critical embedded systems</strong>. </li><li>Hands-on experience taking embedded software through <strong>development, hardware integration, testing, validation, and production release</strong>. </li><li>Experience within <strong>autonomous systems, aerospace, robotics, UAVs, or other complex real-time embedded environments</strong>. </li></ul> Technical Skills <ul> <li>Advanced <strong>C/C++</strong> programming for real-time embedded systems. </li><li><strong>Python</strong> for tooling, scripting, test automation, and engineering workflows. </li><li>Hands-on experience with <strong>autopilot / flight-control stacks such as PX4 or equivalent</strong>. </li><li>Experience with <strong>MAVLink</strong> and Ground Control Station integration using <strong>QGroundControl or similar platforms</strong>. </li><li>Strong experience with <strong>RTOS environments such as NuttX</strong>, including scheduling, POSIX, IPC, memory protection, and device drivers. </li><li>Embedded development experience on <strong>ARM Cortex-based platforms</strong>. </li><li>Hands-on <strong>software and hardware integration</strong> experience. </li><li>Embedded security experience including <strong>ARM TrustZone, OP-TEE, Trusted Firmware, secure boot chains, eFUSE, and OTP</strong>. </li><li>Experience with embedded communication interfaces including <strong>CAN-FD, SPI, I2C, and UART</strong>. </li><li>Understanding of secure coding standards including <strong>MISRA C and SEI CERT</strong>. </li><li>Knowledge of cryptographic technologies including <strong>TLS, AES, RSA, ECC, PKI, and key management</strong>. </li><li>Strong experience with <strong>Git and collaborative source-code management workflows</strong>. </li><li>Working knowledge of <strong>CI/CD, DevOps, build systems, automated testing, and firmware release processes</strong>. </li><li>Experience with static analysis and software security tools such as <strong>Coverity, SonarQube, Black Duck, or equivalent</strong>. </li><li>Working knowledge of <strong>MATLAB or similar engineering tools</strong> for testing, data analysis, simulation, and validation. </li><li>Strong debugging, analytical, and problem-solving capabilities within complex embedded environments. </li></ul> Education &amp; Certifications <ul> <li>Bachelor's degree in <strong>Computer Science, Electronics, Electrical Engineering, Aerospace Engineering, or a related technical discipline</strong>. </li><li>Master's degree or PhD is advantageous. </li><li>Knowledge or certification relating to safety-critical software standards such as <strong>DO-178C and/or ISO 26262</strong> is highly desirable. </li><li>Experience with <strong>MATLAB or equivalent tools for test and validation workflows</strong> is preferred. </li></ul> Industry / Domain <p><strong>Autonomous Systems | Flight Control | Embedded Software | Safety-Critical Systems | Embedded Security</strong></p><br><br> <br><br> </div>

<strong>About AI71:<br><br></strong>AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.<br><br><strong>The Role:<br><br></strong>We are seeking a highly motivated and skilled DevOps Engineer to join our team. You’ll play a crucial role in building, deploying, and maintaining scalable and reliable systems and infrastructure, working closely with development teams to ensure operational efficiency and smooth deployment pipelines.<br><br><strong>What You'll Do:<br><br></strong><ul><li>Design, implement, and maintain CI/CD pipelines to streamline development workflows.</li><li>Build and manage scalable infrastructure for AI model deployment and lifecycle management.</li><li>Automate infrastructure provisioning and management using tools like Terraform, Ansible, or CloudFormation.</li><li>Optimize cloud-based and on-premises resources for scalability and cost efficiency.</li><li>Manage and fine-tune queuing systems and real-time streaming architectures.</li><li>Monitor and troubleshoot production systems to ensure uptime and performance.</li><li>Implement logging, monitoring, and alerting solutions using tools such as Prometheus, Grafana, ELK stack, etc.</li><li>Set up comprehensive monitoring for both system metrics and ML model performance.</li><li>Conduct root cause analyses and post-mortems to improve system reliability.</li><li>Collaborate with development and QA teams to deploy new features into production seamlessly.</li><li>Promote best practices in system architecture, security, and performance.</li><li>Participate in a rotating on-call schedule for production system support.</li><li>Ensure infrastructure complies with security and compliance standards (e.g., SOC2, ISO27001).</li><li>Securely manage secrets and credentials using tools like Vault or AWS Secrets Manager.<br><br></li></ul><strong>What You'll Bring:<br><br></strong><ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).</li><li>Proficiency in at least one scripting language: Python, Bash, or Go.</li><li>Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.</li><li>Skilled in containerization and orchestration with Docker and Kubernetes.</li><li>Experience using CI/CD tools such as Azure DevOps, Jenkins, GitLab CI/CD, or CircleCI.</li><li>Knowledge of monitoring and observability tools like Prometheus, Datadog, New Relic, Grafana, or PagerDuty.</li><li>Understanding of networking fundamentals including DNS, load balancing, and firewalls.</li><li>Familiarity with real-time streaming architectures for AI and data applications.<br><br></li></ul><strong>Great Pluses / Preferred Experience <br><br></strong><ul><li>Experience with Infrastructure as Code (IaC) tools like Terraform or Pulumi.</li><li>Understanding of service mesh technologies like Istio or Linkerd.</li><li>Familiarity with database scaling and administration, including VectorDBs, SQL, and NoSQL systems.</li><li>Previous experience in a high-traffic production environment.<br><br></li></ul><strong>Why AI71:<br><br></strong><ul><li><strong>Mission-Driven Work:</strong> Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.</li><li><strong>Unparalleled Opportunity:</strong> This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.</li><li><strong>Career Growth: </strong>We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.</li><li><strong>World-Class Environment:</strong> Enjoy a flexible working environment and the latest tools &amp; technologies needed to do your best work.</li></ul>