devops engineer

ai engineer

project engineer

site engineer

backend engineer

full stack engineer

Salt

<div>
 <p>
  <strong>
   🤖 Full Stack Engineer
  </strong>
 </p>
 <p>
  <strong>
   ⏳ 6-month initial contract - with extensions
  </strong>
 </p>
 <p>
  <strong>
   📍 Abu Dhabi
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Build the Future of AI in Banking
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're partnering with one of the UAE's leading financial institutions to hire an experienced
  <strong>
   Full Stack Developer
  </strong>
  to help shape the next generation of AI-powered banking.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll play a key role in developing the customer and operational interfaces for a cutting-edge
  <strong>
   Agentic AI platform
  </strong>
  , creating intuitive applications that connect complex AI decision-making with the people who rely on it every day. From Human-in-the-Loop (HITL) review portals and real-time operational dashboards to internal AI management tools, you'll build products that are central to the bank's AI transformation journey.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is an opportunity to work on enterprise-scale AI solutions using modern technologies including
  <strong>
   React, TypeScript, Node.js, Azure, Kubernetes, REST APIs, and GenAI integrations
  </strong>
  , while collaborating with AI Engineers, Product teams, Business Analysts and Platform Architects.
 </p>
 <p>
  The Role As a
  <strong>
   Full Stack Developer
  </strong>
  , you'll own the design and development of the human-facing applications that power the bank's AI ecosystem. You'll transform complex AI outputs, including confidence scores, exception handling, agent status and operational metrics&mdash;into intuitive, high-performance user experiences for operations teams, business users and customers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Be Doing:
  </strong>
 </p>
 <p>
  Build Modern AI Applications
 </p>
 <ul>
  <li>
   Develop enterprise-grade React &amp; TypeScript applications for AI-powered banking solutions.
  </li>
  <li>
   Design intuitive interfaces that visualise AI decisions, confidence scores and workflow status.
  </li>
  <li>
   Create responsive, accessible applications that deliver an exceptional user experience.
  </li>
 </ul>
 <p>
  Human-in-the-Loop (HITL) Platform
 </p>
 <ul>
  <li>
   Develop reviewer portals enabling operations teams to validate AI-generated decisions.
  </li>
  <li>
   Build document viewers with field overlays and confidence indicators.
  </li>
  <li>
   Create streamlined approval, edit and rejection workflows with productivity-focused features.
  </li>
 </ul>
 <p>
  Operational Dashboards
 </p>
 <ul>
  <li>
   Build real-time dashboards displaying AI performance and operational health.
  </li>
  <li>
   Visualise key metrics including:
  </li>
  <li>
   Straight Through Processing (STP)
  </li>
  <li>
   Human intervention rates
  </li>
  <li>
   AI confidence trends
  </li>
  <li>
   Processing latency
  </li>
  <li>
   Token consumption
  </li>
  <li>
   Document volumes
  </li>
  <li>
   Exception analytics
  </li>
 </ul>
 <p>
  Platform &amp; API Integration
 </p>
 <ul>
  <li>
   Integrate applications with AI services, REST APIs and backend orchestration platforms.
  </li>
  <li>
   Develop secure communication between AI services and banking applications.
  </li>
  <li>
   Consume real-time event streams using WebSockets and Server-Sent Events.
  </li>
 </ul>
 <p>
  Internal AI Tooling
 </p>
 <ul>
  <li>
   Build internal portals supporting AI prompt management, testing, annotation and AI use case configuration.
  </li>
  <li>
   Create developer tooling that accelerates AI delivery across multiple business functions.
  </li>
 </ul>
 <p>
  Performance &amp; Accessibility
 </p>
 <ul>
  <li>
   Deliver highly performant applications optimised for enterprise environments.
  </li>
  <li>
   Ensure solutions meet accessibility standards and gracefully handle AI processing latency.
  </li>
  <li>
   Contribute to a reusable design system and component library aligned with corporate branding.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We're Looking For
  </strong>
 </p>
 <p>
  Essential Experience
 </p>
 <ul>
  <li>
   5+ years' experience as a Full Stack Developer
  </li>
  <li>
   Commercial experience delivering
   <strong>
    AI, Generative AI, Agentic AI or Conversational AI
   </strong>
   projects
  </li>
  <li>
   Strong React &amp; TypeScript development experience
  </li>
  <li>
   Node.js or Python (FastAPI / Express)
  </li>
  <li>
   REST API integration and development
  </li>
  <li>
   Experience with WebSockets or Server-Sent Events
  </li>
  <li>
   State management using Redux, Zustand or React Query
  </li>
  <li>
   Data visualisation using Recharts, D3 or similar libraries
  </li>
  <li>
   OAuth2 / OpenID Connect authentication
  </li>
  <li>
   Docker and Kubernetes fundamentals
  </li>
  <li>
   Experience building scalable, enterprise-grade web applications
  </li>
 </ul>
 <p>
  Nice to Have
 </p>
 <ul>
  <li>
   React Native or mobile banking application development
  </li>
  <li>
   Azure Static Web Apps, Azure Front Door or CDN configuration
  </li>
  <li>
   High-resolution document rendering and annotation tools
  </li>
  <li>
   Experience displaying streaming LLM responses
  </li>
  <li>
   Understanding of AI/ML concepts including confidence scoring, model evaluation and operational metrics
  </li>
  <li>
   Experience working within Azure cloud environments
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join?
  </strong>
 </p>
 <p>
  This is a rare opportunity to work on one of the region's most ambitious AI transformation programmes.
 </p>
</div>


Full Stack Engineer

DICETEK LLC

<div><p>Require full stack dotnet developer who is capable of designing &amp; developing high quality applications. The major technologies we are looking forward to Dotnet Core, Microservices, Cloud environments, REST APIs, Kafka, ASP.netCore MVC, and SQL
</p><p>Major skills / technologies required:</p><p><b>
React : </b>React.js, React Native, JavaScript, Kotlin, Groovy, Java, Redux, XState, Webpack, TypeScript, Redux, Babel, NPM/Yarn, RESTful APIs, HTML5, CSS3, Bootstrap , GraphQL</p><p>
Dotnet Core : .NET Core, ASP.netCore MVC, Dependency Injection, Entity Framework Core</p><p>
Micro services : Service Mesh, Service Discovery, Domain Driven</p><p>
Databases : SQL Server, PostgreSQL, MySQL, MongoDB</p><p>
<b>REST APIs :</b> RESTful Services, API Design, OAuth2, JWT, OIDC</p><p>
<b>Kafka : </b>Kafka Streams, Kafka Connect, Messaging Patterns</p><p>
Tools : Visual Studio, Visual Studio Code, JetBrains Rider, Postman, Git, Confluence, Jira</p><p>
Cloud Ready : Azure, AWS, Docker, Kubernetes</p><p></p><p><b><br>
</b><b>Experience &amp; Soft Skills</b></p><ul><li>
Total Experience up to 5-10 years</li><li>
Good Experience on handling Platform/Hosting support functionality.</li><li>
Banking Experience is preferred</li><li>
Strong analytical and problem-solving abilities.</li><li>
Excellent communication and teamwork skills.</li><li>
Ability to work independently and manage multiple tasks effectively.</li><li>
A proactive approach to learning new technologies and improving existing processes.</li></ul><p><b>
</b><b>Responsibilities</b></p><ul><li>
Design, develop, maintain, and support Dotnet back-end services and APIs</li><li>
Analyze requirements and formalize technical approaches</li><li>
Test-driven development and implementation of middleware services end-to-end</li><li>
Ensure maximum code coverage (&gt;80%) through unit testing</li><li>
Address and handle all penetration testing scenarios</li><li>
Ensure bug-free application releases by maintaining high code quality standards</li><li>
Implement security measures to protect user data and application integrity</li><li>
Stay informed about common security vulnerabilities and how to mitigate them</li></ul></div><p></p>

Full Stack Engineer ( dotnet + React)

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.</p><p>
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.</p><p>
As a Senior Full Stack AI Engineer, you will be the ultimate bridge between advanced data science and enterprise-scale software architecture. This role is designed for a rare breed of engineer: someone who possesses the deep mathematical and modeling background required to design advanced AI and Generative AI systems, paired with the full-stack infrastructure capabilities needed to deploy, containerize, scale, and monitor them across hybrid, cloud, and on-premise environments.</p><p>
Operating within complex client landscapes&mdash;such as premier banking and financial institutions (e.g., ADCB)&mdash;you will own the full engineering lifecycle of AI applications. You will design secure, highly performant systems, orchestrate massive data pipelines, optimize cloud spend, and establish robust MLOps practices that guarantee production stability.</p>
Key ResponsibilitiesEnd-to-End AI Architecture &amp; Full-Stack Design<ul><li>
Architect end-to-end, highly secure AI and Generative AI systems capable of running seamlessly across both secure on-premise data centers and public cloud infrastructures (Azure/AWS).</li><li>
Design, build, and optimize high-throughput, secure APIs to serve complex AI models and agentic workflows to consuming client applications.</li><li>
Seamlessly integrate proprietary cloud foundation models (GPT, Claude, Gemini) and fine-tuned open-source models into unified software ecosystems.</li></ul>
Deep Learning &amp; Advanced AI Engineering<ul><li>
Leverage a deep theoretical understanding of Transformers, PyTorch, and TensorFlow to implement, evaluate, and optimize deep learning models across NLP and Computer Vision domains.</li><li>
Design scalable knowledge retrieval frameworks using embedding models and enterprise-grade Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss).</li><li>
Build and evaluate robust systematic prompting frameworks and compile complex models using ONNX for optimized, low-latency production inference.</li></ul>
Infrastructure, MLOps &amp; FinOps<ul><li>
Own the containerization and scaling of AI services utilizing Docker and Kubernetes clusters across development and production environments.</li><li>
Build and automate robust MLOps continuous integration and deployment pipelines to track model lineage, versions, evaluations, and production drift.</li><li>
Implement strict FinOps practices to track, monitor, and radically optimize token usage, cloud compute consumption, and inferencing costs.</li><li>
Architect and optimize large-scale data processing systems using modern Big Data tools to feed raw information into AI training and embedding workflows.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
</i><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><br>
We need you to have:</p><p></p><ul><li>
Extensive experience designing, launching, and managing containerized AI/ML or data-intensive applications in highly regulated enterprise environments.</li><li>
A proven track record applying deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) fields.</li><li>
Practical experience implementing production-grade model monitoring frameworks and optimizing complex cloud/token expenditure.</li><li>
Deep operational command of Docker and enterprise Kubernetes infrastructure for running distributed AI applications.</li><li>
Expert-level knowledge of Azure (or alternative major clouds) alongside a strong architectural grasp of on-premise deployment constraints, data security, and network topologies.</li><li>
Strong proficiency in Big Data toolsets and modern API gateway designs.</li><li>
A rigorous, foundational grasp of transformer architectures, embedding mechanics, and deep learning implementations via PyTorch/TensorFlow.</li><li>
High proficiency across SQL, NoSQL, and Vector Database engines.</li><li>
&quot;Perfect-tier&quot; software engineering skills in Python and advanced data processing techniques.</li></ul><p></p><p>
It would also be great if you have:</p><p></p><ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a highly relevant quantitative discipline.</li><li>
Deep domain experience within banking, understanding strict data residency laws, financial compliance protocols, and legacy core banking interactions.</li><li>
Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern cloud MLOps suites (e.g., Azure AI Studio, Kubeflow).</li></ul><p></p><b><br>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul><p><i><br>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</i><br>
<br>
<i>At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</i></p></div>

Senior Full Stack Engineer

<div><p><b>Experience
</b></p><p>10 -15 years</p><p><b>
Skills</b> -
</p><p>Experience in working Full stack architecture</p><p>
React JS, Python, Fast API as backend, Postgres SQL</p><p>
Azure data factory - Backend data pipelines</p><p>
TLS 1.2 or 1.3 implementation</p><p>
SSO implementation</p><p>
Lead the senior full stack developers</p><p>
Design the Modules/ project and implement</p><p>
Finops experience is a add on</p><p></p><p><b><br>
Required Technical Qualifications</b></p><ul><li>12+ years of software engineering experience with 5+ years in principal or staff engineer roles</li><li>5+ years of experience with cloud platforms, preferably Azure with exposure to AWS and OCI</li><li>3+ years of experience with data engineering and lakehouse architectures</li><li>Proven track record of delivering enterprise-scale platforms from inception to production</li><li>Expert-level proficiency in React, Python, and TypeScript</li><li>Deep experience with Databricks, Delta Lake, and Spark</li><li>Strong knowledge of Azure services including AKS, ADLS Gen2, Event Hubs, Azure Functions, and API Management</li><li>Proficiency in designing RESTful APIs and GraphQL services using FastAPI or similar frameworks</li><li>Strong understanding of CI/CD pipelines using Azure DevOps or GitHub Actions</li><li>Experience designing multi-cloud data integration solutions</li><li>Knowledge of FinOps principles and cloud cost management concepts</li><li>Understanding of enterprise security patterns including zero-trust architecture, private endpoints, and managed identities</li><li>Experience with event-driven architectures and streaming data platforms</li><li>Excellent communication skills with ability to present to technical and non-technical stakeholders</li><li>Strong problem-solving and decision-making abilities</li><li>Experience leading distributed engineering teams</li><li>Ability to balance technical excellence with business delivery timelines</li></ul></div>

Principal Full Stack Engineer - Cloud FinOps Platform

Contango

<div><p><b>Contract duration: </b>6 months (with a potential extension)<br>
<b>Engagement Type:</b> Full-time<br>
<b>Start date: </b>July 2026<br>
<b>Location:</b> Abu Dhabi (on-site)</p><p></p><p><b>
Role Overview</b></p><p>
We are seeking an experienced Full-Stack Engineer to own features from database to interface &mdash; designing APIs and data models, building responsive frontends, and shipping production code with tests, observability, and CI/CD. We value breadth across the stack with enough depth to make sound architectural calls.</p><p>
The modern full-stack role increasingly includes integrating AI: calling LLM APIs, building RAG-backed and agentic features, and streaming model output into the UI. We work TypeScript-first, edge-aware, and type-safe end-to-end, with AI coding assistants as part of the everyday toolchain.</p><p><b><br>
Key Responsibilities</b></p><ul><li><p>
Build responsive, accessible interfaces with React/Next.js (or Vue/Svelte) and TypeScript.</p></li><li><p>
Develop and maintain backend services and APIs (REST, GraphQL, gRPC, or tRPC) with clean domain models.</p></li><li><p>
Design relational and non-relational data models, write performant queries, and manage migrations.</p></li><li><p>
Integrate AI features &mdash; call LLM APIs, build RAG and tool-using flows, and stream output into the UI.</p></li><li><p>
Implement authentication and authorization securely (OAuth/OIDC, JWT, managed auth providers).</p></li><li><p>
Write automated tests across the stack &mdash; unit, integration, and end-to-end.</p></li><li><p>
Own features end-to-end, from design through deployment, monitoring, and iteration.</p></li><li><p>
Optimize performance: rendering strategy (SSR/SSG/ISR/edge), caching, Core Web Vitals, and query tuning.</p></li></ul><p><b><br>
Candidate Requirements</b></p><ul><li><p>
Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.</p></li><li><p>
Prior experience at management consulting firms and/or Big Tech is an advantage.</p></li><li><p>
Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.</p></li><li><p>
3+ years building and shipping production web apps across frontend and backend.</p></li><li><p>
Strong JavaScript/TypeScript and a modern frontend framework (React/Next.js, Vue, or Svelte).</p></li><li><p>
Backend experience in at least one of Node.js, Python, Go, Java, or .NET, with solid API design.</p></li><li><p>
Strong SQL and database design (PostgreSQL/MySQL) plus a NoSQL or caching store.</p></li><li><p>
Experience with Git, CI/CD, testing, and deploying to a cloud or serverless platform.</p></li><li><p>
A solid understanding of web fundamentals: HTTP, REST, auth, caching, security, and performance.</p></li><li><p>
Experience integrating third-party and/or AI APIs into applications.</p></li></ul><p><br>
Nice to have:</p><ul><li><p>
AI-native product features (copilots, RAG search, agentic flows).</p></li><li><p>
Monorepo tooling and design systems.</p></li><li><p>
Real-time features (WebSockets, CRDTs, collaborative editing).</p></li><li><p>
Mobile or cross-platform experience (React Native, Expo).</p></li><li><p>
DevOps fluency &mdash; containers, IaC basics, owning your own deployments.</p></li></ul><p></p><p><b>
Tools &amp; Technologies You&rsquo;ll Work With:</b></p><ul><li><p>
Frontend: React, Next.js (App Router, RSC), Vue/Nuxt, Svelte/SvelteKit, Tailwind CSS, shadcn/ui.</p></li><li><p>
State &amp; data: TanStack Query, Zustand, Server Actions.</p></li><li><p>
Backend: Node.js, Bun; FastAPI/Django, Spring Boot, .NET, Go.</p></li><li><p>
APIs &amp; data: REST, GraphQL, tRPC, gRPC; PostgreSQL, MongoDB, Redis, pgvector; Prisma, Drizzle.</p></li><li><p>
AI integration: Vercel AI SDK, OpenAI/Anthropic/Gemini SDKs, RAG and embeddings.</p></li><li><p>
Auth &amp; testing: OAuth/OIDC, Auth.js, Clerk; Vitest, Jest, Playwright, Cypress.</p></li><li><p>
Build &amp; deploy: Vite, Turborepo/Nx, pnpm; Vercel, AWS/Azure/GCP, Docker, GitHub Actions; Sentry.</p></li></ul></div><p></p>

Full-Stack Engineer (front-end focused, 6 months contract)

Presight

<div>
 <p>
  <strong>
   The Opportunity:
  </strong>
 </p>
 <p>
  Presight AI is seeking a motivated and skilled Senior Fullstack Engineer to join our dynamic team building end-to-end AI-powered data processing and analytics platform for the enterprise.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  In this role, you will help build the distributed backend services and rich UI components that turn raw enterprise data into clean, normalized, governed, and ML/AI-enriched data products. These data products will serve as the foundation for high-performance classical BI analytics as well as modern agentic data engineering and analytics workflows. You may work across functional areas such as data profiling and quality, data governance, ETL pipelines, data warehouse capabilities, agentic data engineering, dashboards, spatial and geospatial analysis, and entity-centric analytics based on ontologies that model real-world objects, events, and relationships.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in information technology, Computer Science, Engineering or related field
  </li>
  <li>
   Strong computer science and basic algorithms knowledge.
  </li>
  <li>
   5+ years of experience in Java, Python building backend services &amp; distributed systems.
  </li>
  <li>
   5+ years of experience building modern frontends with React and TypeScript.
  </li>
  <li>
   Experience designing and building large scale distributed fault tolerant services.
  </li>
  <li>
   Experience building: search, recommendations, or other advanced analytics systems.
  </li>
  <li>
   Strong knowledge about programming principles (SOLID).
  </li>
  <li>
   Strong understanding of data analytics fundamentals and knowledge of basic SQL.
  </li>
  <li>
   Proficient with agentic development tools.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Good to have:
  </strong>
 </p>
 <ul>
  <li>
   data engineer experience with Databricks, Snowflake or MS Fabric.
  </li>
  <li>
   Worked with Clickhouse on OLAP/DWH workloads.
  </li>
  <li>
   Experience with batch and stream processing big data using Spark, Trino, Flink, Kafka, etc&hellip;
  </li>
  <li>
   Practical experience processing unstructured data with modern models &ndash; OCR, STT, NER, etc...
  </li>
  <li>
   Implemented complex analytics with BI tools such as Tableau, PowerBI or built your own.
  </li>
  <li>
   AI models, python notebook is something you like to play with as well.
  </li>
  <li>
   Have great communication skills and passion in technology and driving thing forward!
  </li>
 </ul>
</div>


Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>The Principal Full-Stack Architect (.NET &amp; Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions. The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.
</p></div><div><p>Develop, enhance, and integrate modules within core applications used by front-office investment teams.
</p></div><div><p>Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).
</p></div><div><p>Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).
</p></div><div><p>Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).
</p></div><div><p>Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.
</p></div><div><p>Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.
</p></div><div><p>Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.
</p></div><div><p>Own incident management: troubleshooting, root cause analysis, and preventive measures.
</p></div><div><p>Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.
</p></div><div><p>Mentor cross-functional teams on cloud-native and AI best practices
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Must have:
</p></div><div><p>15+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>12+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/
</p></div><div><p>Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.
</p></div><div><p>7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor. Skills:
</p></div><div><p>Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership. Candidates with purely implementation-level experience will not be considered.
</p></div><div><p>5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.
</p></div><div><p>5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).
</p></div><div><p>Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) &mdash; in production, within the last 24 months. Proof-of-concept-only or pre-2024 experience does not qualify.
</p></div><div><p>Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.
</p></div><div><p>Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).
</p></div><div><p>Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).
</p></div><div><p>Experience in regulated environments (financial services / investment management strongly preferred). Required certifications:
</p></div><div><p>Microsoft Certified: Azure Solutions Architect Expert: required. Applications without it are not shortlisted.
</p></div><div><p>Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.
</p></div></div><p>Nice to have
</p><div><div><p>AWS and/or GCP exposure (multi-cloud evaluation experience)
</p></div><div><p>Terraform in production
</p></div><div><p>Python
</p></div><div><p>Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure
</p></div><div><p>Azure Security Engineer Associate
</p></div><div><p>Experience establishing self-service platforms for citizen developers
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-123799
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>03/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

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