project engineer

senior electrical engineer Jobs in Abu Dhabi

senior electrical engineer

devops engineer

ot security engineer

quality engineer

senior devops engineer

D4 Insight

<div><p><b>Location:</b> Abu Dhabi<br>
<b>Experience:</b> 7+ Years</p>
<h3 class="jobSectionHeader"><b>
Role Overview:</b></h3>
<p>
We are seeking Senior AI Ops Engineer to design secure hybrid cloud architectures supporting AI and banking workloads across Azure and AWS environments.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3>
<ul><li>Design Azure and AWS cloud architectures.</li>
<li>Implement governance, security, and compliance controls.</li>
<li>Lead FinOps and cloud optimization initiatives.</li>
<li>Define HLD/LLD architecture standards.</li>
<li>Mentor engineering teams and engage stakeholders.</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills:</b></h3>
<ul><li>Azure &amp; AWS</li>
<li>Cloud Architecture</li>
<li>Security &amp; Compliance</li>
<li>FinOps</li>
<li>DevOps</li>
<li>Enterprise Governance</li>
</ul>
<p> <b>Apply Now: </b><b>[email protected]</b></p></div>

Senior AI Ops Engineer – DevOps / Cloud Architecture

<div>
 <strong>
  Location:
 </strong>
 Abu Dhabi
 <br/>
 <br/>
 <strong>
  Experience:
 </strong>
 5+ Years
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 The DevOps Engineer will manage deployment automation, cloud infrastructure, Kubernetes operations, and platform reliability across Azure-based AI environments.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build Infrastructure as Code using Terraform and Bicep.
  </li>
  <li>
   Manage AKS environments and Kubernetes operations.
  </li>
  <li>
   Implement CI/CD pipelines.
  </li>
  <li>
   Support monitoring, DR, and security controls.
  </li>
  <li>
   Maintain platform reliability and scalability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Azure
  </li>
  <li>
   AKS
  </li>
  <li>
   Terraform
  </li>
  <li>
   Bicep
  </li>
  <li>
   Kubernetes
  </li>
  <li>
   CI/CD
  </li>
  <li>
   DevOps Automation
   <br/>
   <br/>
  </li>
 </ul>
 📩
 <strong>
  Apply Now: careers@d4insight.com
 </strong>
</div>


DevOps Engineer

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</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>
The DevOps Engineer owns the Agentic Workflow Automation (AWA) platform's deployment architecture, infrastructure-as-code (IaC), CI/CD pipelines, and continuous operational reliability. Operating within the AI Centre of Excellence (AICoE) at a Mid-level capacity, this position serves as the primary guardian of the cloud-native infrastructure within the bank's Azure UAE environment. The role ensures that every critical platform component&mdash;ranging from AKS namespaces and KEDA autoscalers to ADLS Gen2 storage lifecycles and firewall configurations&mdash;is entirely automated, secure, and reproducible strictly from code, eliminating manual interventions.</p>
Your responsibilities as the DevOps Engineer include:<ul><li>
Maintaining and governing all AWA Azure infrastructure utilizing Terraform or Bicep, covering multi-namespace AKS clusters, ADLS Gen2 accounts with WORM policies, API Management configurations, private endpoints, and Key Vault instances.</li><li>
Designing and optimising automated Azure DevOps pipelines managing the full lifecycle from container compilation, ACR pushing, and Notary v2 image signing, through to managed infrastructure deployments and validation testing gates.</li><li>
Managing multi-namespace AKS clusters, enforcing strict network policies, pod isolation, workload identities, and KEDA autoscaling rules based on active message queues or consumer lag.</li><li>
Overseeing container registries, enforce mandatory image signing, monitor vulnerability tracking outputs, and maintain admission control validation policies via OPA Gatekeeper.</li><li>
Administering access architectures, managed identity configurations, automated TLS certificate lifecycles, and cryptographic secret rotation schedules within Azure Key Vault.</li><li>
Constructing complex KQL queries and alerting conditions within Azure Monitor and Log Analytics to track service-level SLA breaches, runtime failures, and token utilization thresholds.</li><li>
Implementing platform security configurations, managing private connectivity endpoints, Azure Policy enforcement rules, and enterprise firewall architectures.</li><li>
Defining, implementing, and validating automated disaster recovery failover paths, maintaining target Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) for storage accounts and model serving endpoints.</li></ul><br>
<b>
Requirements</b><p><br>
We need you to have:</p><ul><li>
A deep competence in building enterprise-grade, production-ready cloud architectures using infrastructure-as-code platforms (Terraform or Bicep).</li><li>
Technical mastery over Kubernetes (AKS) configuration, including Helm/Kustomize deployment engines, network policies, and cluster admission controls.</li><li>
Practical ability to implement automated horizontal scaling strategies using Kubernetes Event-Driven Autoscaling (KEDA) or equivalent streaming metrics.</li><li>
The capability to manage multi-stage, gated deployment pipelines across multi-environment setups using Azure DevOps or GitHub Actions.</li><li>
A solid understanding of enterprise network routing, including hub-and-spoke VNets, private link endpoints, network security groups, and cloud firewall boundaries.</li><li>
A minimum of 5 years of experience in dedicated DevOps, SRE, or Platform Engineering roles, with at least 2 years explicitly focused on Azure ecosystems.</li><li>
A documented history managing production Kubernetes deployments, implementing automated RBAC, policy layers, and namespace segmentation.</li><li>
Experience writing advanced KQL (Kusto Query Language) expressions to parse logs and feed operational dashboards.</li><li>
Hold a Bachelor's degree in Computer Science, Systems Engineering, or a related technical discipline.</li></ul><p></p><p>
It would also be great if you:</p><p></p><ul><li>
Are proficient with Kubernetes Workload Identity, managed identity architectures, and Azure Key Vault access security profiles.</li><li>
Are familiar with Azure AI Foundry and API Management platforms, specifically controlling token consumption quotas, routing, and rate limits.</li><li>
Are familiar with Azure Event Hubs or Kafka consumer groups, alongside immutable ADLS Gen2 storage structure management.</li><li>
Hold an active Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), or Certified Kubernetes Administrator (CKA) designations.</li></ul><br>
<b>
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>

DICETEK LLC

<div><p><b>Key Responsibilities:</b></p><ul><li>Provide daily operational support for a real‑time digital platform</li><li>Implement and manage Infrastructure as Code using Terraform</li><li>Handle cloud transformations, deployments, and environment configurations</li><li>Support development teams with cloud‑related requirements</li><li>Perform maintenance, user support, and platform stability activities</li><li>Collaborate with cross‑functional teams to ensure smooth operations</li></ul><p>
</p><p><b>Required Skills &amp; Experience</b></p><ul><li>6&ndash;10+ years of experience in Cloud Engineering / DevOps</li><li>Strong hands‑on experience with Azure or AWS</li><li>Proficiency in Terraform and infrastructure automation</li><li>Solid understanding of DevOps practices, CI/CD, and cloud security</li><li>Experience in both implementation and maintenance of cloud environments</li><li>Ability to troubleshoot and support real‑time production systems</li></ul><p>
</p><p><b>Mandatory Certifications</b></p><ul><li>Azure Solution Architect OR</li><li>AWS Solution Architect</li></ul><p>
(At least one certification is required)</p></div>

Cloud and DevOps Engineer

<div><p><b>Location:</b> Abu Dhabi<br>
<b>Experience:</b> 7+ Years</p>
<h3 class="jobSectionHeader"><b>
Role Overview:</b></h3>
<p>
The Azure Platform Engineer will design and operate enterprise Azure environments supporting AI-driven applications and banking platforms.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3>
<ul><li>Build Azure landing zones.</li>
<li>Implement Terraform-based automation.</li>
<li>Integrate Azure OpenAI and AI Search services.</li>
<li>Manage APIM, networking, and cloud operations.</li>
<li>Drive FinOps and cloud optimization initiatives.</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills:</b></h3>
<ul><li>Azure</li>
<li>Terraform</li>
<li>Azure OpenAI</li>
<li>AI Search</li>
<li>APIM</li>
<li>FinOps</li>
<li>CI/CD</li>
</ul>
<p> <b>Apply Now: </b><b>[email protected]</b></p></div>

Senior Platform Engineer (Azure Focus)

Farah Experiences

<div><div><b>Join Us at Miral Experiences
</b></div><div></div><div>At <b>Miral Experiences </b>, we don&acirc;&euro;&trade;t just create jobs &acirc;&euro;&rdquo; we create <b>extraordinary moments </b>. As part of the visionary <b>Miral Group </b>, we bring to life some of the world&acirc;&euro;&trade;s most iconic attractions, including <b>Ferrari World Abu Dhabi </b>, <b>Warner Bros. World Abu Dhabi </b>, <b>Yas Waterworld </b>, and <b>SeaWorld Yas Island </b>.
</div><div>We are passionate about delivering <b>unforgettable guest experiences </b>and shaping the future of leisure and entertainment in the UAE. Our team is made up of innovators, doers, and dreamers who thrive in a dynamic, inclusive, and purpose-driven environment.
</div><div>If you're looking to be part of something bigger &acirc;&euro;&rdquo; where your work directly contributes to <b>memorable experiences for millions </b>&acirc;&euro;&rdquo; then <b>Miral Experiences is the place for you </b>.
</div><div></div><div>Are you passionate about building scalable data systems and ensuring data quality across platforms? Join our growing Data Engineering team as a <b>Senior Data Operations Engineer </b>and help us shape the future of data infrastructure and analytics.
</div><div></div><div><b>What You&acirc;&euro;&trade;ll Do
</b></div><ul><li><p>Build and maintain robust ETL/ELT pipelines for efficient data flow.
</p></li><li><p>Monitor and troubleshoot data systems for performance and reliability.
</p></li><li><p>Lead incident and problem management, ensuring SLA compliance.
</p></li><li><p>Automate data processing and reporting workflows.
</p></li><li><p>Collaborate with Data Engineers, Scientists, BI, and DevOps teams.
</p></li><li><p>Document processes and communicate with business and IT stakeholders.
</p></li></ul><div></div><div><b>What You Bring
</b></div><ul><li><p><b>4+ years </b>in Data Engineering or Data Operations.
</p></li><li><p>Strong SQL skills and experience with relational databases.
</p></li><li><p>Hands-on with cloud platforms (Google Cloud, Azure, Microsoft Fabric).
</p></li><li><p>Proficient in ETL tools and orchestration frameworks (Airflow, Prefect, etc.).
</p></li><li><p>Familiar with big data tools (Hadoop, Spark) and programming (Python, Java, Scala).
</p></li><li><p>DevOps knowledge (CI/CD, Docker, Kubernetes) is a plus.
</p></li><li><p>Bonus: Experience with MLOps, Kafka, and data governance.
</p></li></ul><div></div><div><b>Education
</b></div><div>Bachelor&acirc;&euro;&trade;s in Computer Science, Engineering, or related field (Master&acirc;&euro;&trade;s is a plus).
</div><div></div><div><b>Ready to Make an Impact?
</b></div><div>If you're passionate about people, service, and creating a workplace where colleagues feel supported and valued &acirc;&euro;&rdquo; we&acirc;&euro;&trade;d love to hear from you. <b>Apply now </b>and take the next step in your career with <b>Miral Experiences </b>&acirc;&euro;&rdquo; where your work helps shape unforgettable moments every day.</div></div>

Data Operations Senior Engineer

Fecundity Technologies

<p><b>Role Overview</b>: The Senior AI Engineer leads the technical delivery of one or more AWA use cases end-to-end, from Agent Profile definition through to production UAT sign-off. You own the architectural decisions within your use case domain: agent graph topology, confidence calibration, HITL threshold negotiation with the business, and the regression testing regime. You mentor AI Engineers and are the primary escalation point for complex LangGraph, LLM, and evaluation challenges. You are expected to identify failure modes before they reach production and to drive the adoption of new AWA capabilities across the use case portfolio.</p><p><b>Key Responsibilities</b></p><ul><li>Use case technical ownership: Own the technical delivery of one or more AWA use cases from discovery through production; define the Agent Profile, Use Case Manifest, Data Manifest, and Tool Authorisation Matrix for each use case.</li><li>Architecture and design: Design LangGraph agent graph topologies for complex multi-agent pipelines including Supervisor-Worker fan-out, parallel execution, state compression, and cross-document reconciliation (3-way match).</li><li>Confidence calibration and HITL thresholds: Lead the AI Metric Baselines calibration process: measure ECE, derive HITL routing thresholds empirically, present threshold recommendations to business and risk teams, and own the signed AI Metric Baselines table.</li><li>Test strategy ownership: Own and execute the full AWA IDP Test Strategy for your use cases: all four testing bands (Model/Prompt/Agent/Security, Adversarial, Integration, UAT) through to sign-off.</li><li>Agent Regression Testing: Maintain the Golden Dataset and Regression Dataset for your use cases; configure CI/CD regression pipeline gates; review regression results after every model or prompt change.</li><li>Mentoring and code review: Mentor AI Engineers; conduct substantive technical code reviews of agent graphs, prompts, and MCP tool implementations; maintain AWA coding standards.</li><li>Stakeholder engagement: Present model quality metrics, STP rates, and HITL rates to Ops leads and business owners; recommend threshold adjustments with data-backed rationale.</li><li>New capability adoption: Evaluate and prototype new AI capabilities (new Azure AI Foundry models, new LangGraph features, new RAG patterns) for incorporation into the AWA accelerator catalogue.</li></ul><p><b>Required Skills and Experience</b></p><p><b>Technical &mdash; Essential</b></p><ul><li>5+ years Python development; 2+ years in production AI/ML engineering</li><li>Deep LangGraph or equivalent agentic framework experience: graph topology, state management, conditional edges, checkpoint-based recovery</li><li>LLM evaluation expertise: F1 measurement against ground truth, Expected Calibration Error (ECE), hallucination detection, confidence calibration</li><li>Prompt engineering at scale: versioned prompts, sensitivity analysis, few-shot dataset curation, PMS governance</li><li>RAG architecture: hybrid retrieval (BM25 + vector), re-ranking, chunk citation, grounding verification</li><li>Azure AI Foundry or equivalent LLM inference platform: PTU, PAYG, token budget management, APIM integration</li><li>Workflow orchestration: Orkes Conductor or Temporal &mdash; HITL wait tasks, retry policies, compensating transactions</li><li>CI/CD pipeline integration for ML: Azure DevOps, MLflow experiment tracking, model registry promotion</li></ul><p><b>Technical &mdash; Advantageous</b></p><ul><li>Computer vision model deployment and evaluation (object detection &mdash; TPR/TNR/IoU)</li><li>Azure AI Document Intelligence: form recogniser, custom models, layout analysis</li><li>Kubernetes / AKS: workload identity, namespace isolation, KEDA autoscaling</li><li>Apache Iceberg, DuckDB, and data contract patterns</li><li>Banking domain knowledge: cheque clearing, trade finance, KYC, AML</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor's degree in Computer Science, AI/ML, or equivalent; Master's preferred</li><li>Azure AI Engineer Associate or equivalent certification</li><li>Demonstrable production AI deployments &mdash; case studies or public work highly valued</li></ul><p>Pay: AED21,000.00 - AED30,000.00 per month</p><p>Work Location: In person</p>

Senior AI Engineer

Explore 197+ Senior devops engineer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

197 senior devops engineer jobs In Abu Dhabi

Senior AI Ops Engineer – DevOps / Cloud Architecture

DevOps Engineer

DevOps Engineer

Cloud and DevOps Engineer

Senior Platform Engineer (Azure Focus)

Data Operations Senior Engineer

Senior AI Engineer