cloud engineer

Abu Dhabi Telemedicine Centre

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 M42 delivers comprehensive healthcare services across the full continuum of care; from primary care to advanced specialty treatments. Leveraging cutting-edge health technologies and precision medicine, we ensure the highest standards of effectiveness, efficiency, and patient-centered outcomes. With a global presence spanning more than 480 facilities in 27 countries and a dedicated workforce of over 20,000 professionals, M42 is uniquely positioned to redefine the future of healthcare on a global scale.
 <br/>
 <br/>
 We are looking for a Cloud Operations Engineer with strong hands-on experience in Microsoft Azure to ensure stable, secure, and efficient cloud operations. This role focuses on supporting day-to-day cloud workloads, maintaining AKS environments, strengthening security and governance, and driving automation across infrastructure, patching, backup, and monitoring. The ideal candidate is operationally strong, automation-minded, and comfortable working closely with engineering and DevOps teams to ensure platform reliability and scalability.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Manage daily operations of Azure environments across multiple subscriptions.
  </li>
  <li>
   Provision, configure, and maintain Azure resources including VMs, VNets, Load Balancers, App Services, Storage Accounts, and Key Vaults.
  </li>
  <li>
   Ensure compliance with cloud governance standards such as RBAC, tagging, security policies, and cost optimization.
  </li>
  <li>
   Perform capacity planning, performance tuning, and resource optimization.
  </li>
  <li>
   Operate and maintain Azure Kubernetes Service (AKS) clusters, including node health, scaling, upgrades, and patching.
  </li>
  <li>
   Manage Azure Container Registry (ACR), container image lifecycle, and container security.
  </li>
  <li>
   Troubleshoot AKS networking, ingress, and workload-related issues.
  </li>
  <li>
   Configure and manage Azure Backup, Recovery Services Vaults, and retention policies.
  </li>
  <li>
   Perform backup validation, restore testing, and support disaster recovery activities.
  </li>
  <li>
   Monitor and remediate vulnerabilities across Azure resources, VMs, and AKS nodes.
  </li>
  <li>
   Use Microsoft Defender for Cloud, Security Center, and Log Analytics for security monitoring and threat detection.
  </li>
  <li>
   Implement baseline hardening, secure configurations, and secrets management.
  </li>
  <li>
   Develop automation using Azure Automation, PowerShell, Bash, or Python.
  </li>
  <li>
   Implement and manage automated patching for Windows/Linux VMs and AKS node pools.
  </li>
  <li>
   Create and maintain runbooks for operational tasks and routine cloud activities.
  </li>
  <li>
   Configure monitoring, alerts, and dashboards using Azure Monitor, Log Analytics, and Prometheus.
  </li>
  <li>
   Lead incident response, root-cause analysis, and preventive action planning.
  </li>
  <li>
   Support operational tasks for Azure SQL, PostgreSQL, MySQL, and Cosmos DB, including performance monitoring and maintenance.
  </li>
  <li>
   Support CI/CD pipelines using GitHub Actions and manage GitHub repositories and access.
  </li>
  <li>
   Work closely with development teams to ensure deployment readiness and environment stability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4-8 years of experience in Cloud Operations, Cloud Engineering, or DevOps roles.
  </li>
  <li>
   Strong hands-on experience with Microsoft Azure cloud infrastructure and operations.
  </li>
  <li>
   Proven experience managing AKS and containerized workloads.
  </li>
  <li>
   Solid understanding of backup, disaster recovery, patching, and vulnerability management.
  </li>
  <li>
   Experience with Azure Automation, runbooks, and scripting (PowerShell, Bash, or Python).
  </li>
  <li>
   Familiarity with monitoring, alerting, and incident management practices.
  </li>
  <li>
   Working knowledge of Azure database platforms and operational best practices.
  </li>
  <li>
   Experience with GitHub and basic CI/CD workflows.
  </li>
  <li>
   Experience with Infrastructure as Code (Terraform and/or Bicep) is a plus.
  </li>
  <li>
   Exposure to GitOps tools such as ArgoCD or Flux is desirable.
  </li>
  <li>
   Azure certifications (AZ-104, AZ-305, AZ-400, AZ-500) are preferred.
  </li>
  <li>
   Experience supporting hybrid or on‑prem environments is advantageous.
  </li>
 </ul>
</div>


Cloud Engineer

Saal.ai

<div>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  As a DevOps Engineer, you will be responsible for implementing and maintaining the systems and processes that enable efficient and automated software development, deployment, and operations. You will collaborate with cross-functional teams to enhance our development and operations lifecycle, enabling faster and more reliable software delivery.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Specific Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain a scalable and efficient infrastructure for software development, testing, and deployment.
  </li>
  <li>
   Implement and maintain continuous integration and continuous delivery (CI/CD) pipelines, ensuring smooth and automated software releases.
  </li>
  <li>
   Collaborate with software developers to streamline build, deployment, and release processes.
  </li>
  <li>
   Handling deployments at customer premises.
  </li>
  <li>
   Monitor and optimize system performance, ensuring high availability and scalability.
  </li>
  <li>
   Implement and maintain configuration management tools and practices, ensuring consistency across environments.
  </li>
  <li>
   Implement and maintain containerization and orchestration technologies such as Docker and Kubernetes.
  </li>
  <li>
   Collaborate with security teams to implement and enforce best practices for infrastructure and application security.
  </li>
  <li>
   Troubleshoot and resolve issues related to infrastructure, deployments, and performance.
  </li>
  <li>
   Stay up-to-date with emerging technologies and industry trends related to DevOps and cloud computing.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Skills:
  </strong>
 </p>
 <ul>
  <li>
   Proven experience working as a DevOps Engineer or in a similar role.
  </li>
  <li>
   Strong knowledge of software development methodologies and best practices.
  </li>
  <li>
   Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
  </li>
  <li>
   Proficiency in any of the scripting languages such as Python, Bash etc.
  </li>
  <li>
   Experience with any of the CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
  </li>
  <li>
   Hands-on experience with containerization and orchestration technologies like Docker and Kubernetes.
  </li>
  <li>
   Understanding of networking concepts, including TCP/IP, DNS, load balancing, and firewalls.
  </li>
  <li>
   Strong problem-solving skills and the ability to work independently as well as in a team environment.
  </li>
  <li>
   Excellent communication and collaboration skills, with the ability to interact effectively with cross-functional teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desirable Skills:
  </strong>
 </p>
 <ul>
  <li>
   Certification in DevOps-related technologies (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator).
  </li>
  <li>
   Experience with infrastructure-as-code tools like Terraform or CloudFormation.
  </li>
  <li>
   Knowledge of monitoring and logging tools such as ELK Stack, Prometheus, or Grafana.
  </li>
  <li>
   Understanding of Agile and DevOps methodologies.
  </li>
  <li>
   Familiarity with database management systems like MySQL, PostgreSQL, and MongoDB.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


DevOps Engineer

Salt

<div>
 <p>
  🤖
  <strong>
   Site Reliability Engineer (SRE) &ndash; AI Platforms
  </strong>
 </p>
 <p>
  <strong>
   📍 Abu Dhabi
  </strong>
 </p>
 <p>
  <strong>
   ⏳ 6-month initial contract - with extensions
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Help Build AI Platforms That Never Sleep
  </strong>
 </p>
 <p>
  We're partnering with one of the UAE's leading financial institutions to hire
  <strong>
   2 Site Reliability Engineers (SREs)
  </strong>
  to support the delivery of a next-generation
  <strong>
   Agentic AI platform
  </strong>
  powering the future of digital banking. This is far more than a traditional SRE role. You'll sit at the intersection of
  <strong>
   Site Reliability Engineering, Test Automation, Cloud Infrastructure and AI Quality Assurance
  </strong>
  , ensuring enterprise AI services are resilient, secure, scalable and production-ready. You'll build the automated frameworks that validate AI outputs while maintaining the reliability and performance of cloud-native applications running across Azure and AWS.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a
  <strong>
   Site Reliability Engineer
  </strong>
  , you'll take ownership of
  <strong>
   Production Readiness
  </strong>
  across enterprise AI applications and cloud infrastructure. You'll develop automated testing frameworks, define reliability standards, implement observability, and ensure AI-powered services consistently meet the performance, security and compliance standards expected within a highly regulated banking environment. Working alongside AI Engineers, DevOps Engineers, Software Developers and Cloud Architects, you'll play a critical role in ensuring the platform performs reliably at scale.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Be Doing
  </strong>
 </p>
 <p>
  Site Reliability Engineering
 </p>
 <ul>
  <li>
   Design and implement resilient, highly available cloud platforms.
  </li>
  <li>
   Build automated recovery and self-healing capabilities.
  </li>
  <li>
   Conduct chaos engineering exercises to validate system resilience.
  </li>
  <li>
   Perform load and stress testing to ensure applications can support banking-scale workloads.
  </li>
 </ul>
 <p>
  Automated Testing &amp; Quality Engineering
 </p>
 <ul>
  <li>
   Develop automated regression testing frameworks using Python.
  </li>
  <li>
   Integrate automated testing into CI/CD pipelines.
  </li>
  <li>
   Validate both application functionality and infrastructure deployments.
  </li>
  <li>
   Ensure every release meets enterprise quality standards before production.
  </li>
 </ul>
 <p>
  AI Quality &amp; Validation
 </p>
 <ul>
  <li>
   Build automated frameworks to evaluate AI model responses.
  </li>
  <li>
   Validate prompt behaviour and AI-generated outputs.
  </li>
  <li>
   Measure AI performance using established evaluation techniques and custom benchmarks.
  </li>
  <li>
   Help improve the reliability and consistency of enterprise AI services.
  </li>
 </ul>
 <p>
  Observability &amp; Monitoring
 </p>
 <ul>
  <li>
   Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
  </li>
  <li>
   Develop dashboards and proactive monitoring solutions.
  </li>
  <li>
   Configure intelligent alerting to identify issues before they impact customers.
  </li>
  <li>
   Analyse platform health, reliability and performance trends.
  </li>
 </ul>
 <p>
  Security &amp; Compliance
 </p>
 <ul>
  <li>
   Automate security testing and compliance validation.
  </li>
  <li>
   Ensure AI services comply with banking security, privacy and data residency requirements.
  </li>
  <li>
   Support continuous platform governance and operational excellence.
  </li>
 </ul>
 <p>
  Cloud Optimisation
 </p>
 <ul>
  <li>
   Identify inefficient infrastructure and unnecessary cloud spend.
  </li>
  <li>
   Improve platform performance while optimising operational costs.
  </li>
  <li>
   Support FinOps initiatives across AI workloads.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We're Looking For
  </strong>
 </p>
 <p>
  Essential Skills &amp; Experience
 </p>
 <ul>
  <li>
   Strong commercial experience in Site Reliability Engineering, Platform Engineering or Test Automation
  </li>
  <li>
   Expert Python development skills
  </li>
  <li>
   Experience with automation frameworks including
   <strong>
    PyTest, Selenium or Robot Framework
   </strong>
  </li>
  <li>
   Hands-on experience with Azure and/or AWS cloud platforms
  </li>
  <li>
   Experience building automated CI/CD testing pipelines
  </li>
  <li>
   Strong understanding of cloud networking, scalability and reliability
  </li>
  <li>
   Experience with infrastructure validation and Infrastructure-as-Code concepts
  </li>
  <li>
   Knowledge of monitoring and observability tools including:
  </li>
  <li>
   Azure Monitor
  </li>
  <li>
   AWS CloudWatch
  </li>
  <li>
   Grafana
  </li>
  <li>
   Prometheus
  </li>
  <li>
   Experience with performance testing tools such as
   <strong>
    K6 or JMeter
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AI Experience
  </strong>
 </p>
 <p>
  We're looking for engineers who have worked on
  <strong>
   AI, Generative AI, Conversational AI or Agentic AI
  </strong>
  projects and understand how to evaluate AI system performance.
 </p>
 <p>
  Experience with any of the following would be highly beneficial:
 </p>
 <ul>
  <li>
   Prompt Engineering
  </li>
  <li>
   LLM evaluation
  </li>
  <li>
   Retrieval-Augmented Generation (RAG)
  </li>
  <li>
   AI benchmarking
  </li>
  <li>
   ROUGE/BLEU scoring
  </li>
  <li>
   AI quality evaluation frameworks such as
   <strong>
    DeepEval, Ragas or LangSmith
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <ul>
  <li>
   Bash scripting
  </li>
  <li>
   GitHub Actions
  </li>
  <li>
   Terraform (validation and governance)
  </li>
  <li>
   Serverless cloud architectures
  </li>
  <li>
   FinOps or cloud cost optimisation
  </li>
  <li>
   Experience working within highly regulated industries such as banking or financial services
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join?
  </strong>
 </p>
 <p>
  This is a chance to work on one of the most ambitious enterprise AI programmes in the Middle East.
 </p>
</div>


Site Reliability Engineer

D4 Insight

<div>
 <strong>
  Location:
 </strong>
 Abu Dhabi
 <br/>
 <br/>
 <strong>
  Experience:
 </strong>
 5&ndash;8 Years
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are looking for skilled Site Reliability Engineer with experience in Wealth Management and Brokerage platforms to ensure system reliability, scalability, and operational excellence.
 <br/>
 <br/>
 The role combines software engineering, cloud infrastructure, application support, and FinTech platform operations.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support wealth and brokerage applications.
  </li>
  <li>
   Manage cloud infrastructure on AWS and Azure.
  </li>
  <li>
   Build and maintain CI/CD pipelines.
  </li>
  <li>
   Support APIs, microservices, and distributed systems.
  </li>
  <li>
   Manage databases and application integrations.
  </li>
  <li>
   Drive incident and problem management activities.
  </li>
  <li>
   Monitor emerging FinTech technologies and innovations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Wealth &amp; Brokerage Platforms
  </li>
  <li>
   AWS &amp; Azure
  </li>
  <li>
   Java &amp; .NET Core
  </li>
  <li>
   Docker &amp; Kubernetes
  </li>
  <li>
   CI/CD &amp; DevOps
  </li>
  <li>
   APIs &amp; Microservices
  </li>
  <li>
   Incident Management
   <br/>
   <br/>
  </li>
 </ul>
 📩
 <strong>
  Apply Now: careers@d4insight.com
 </strong>
</div>


Site Reliability Engineer SRE Wealth And Brokerage

Synnect Group L.L.C-FZ

<p><b>Eligibility Criteria:</b></p><ul><li><b>Candidates must currently be based in the UAE.</b></li><li><b>Only candidates holding a valid Dependent Visa are eligible to apply.</b></li><li>Must be available to join immediately or within a short notice period.</li><li>Relevant experience in the required domain.</li><li>Strong communication and interpersonal skills.</li></ul><p>Required skills &amp; experience</p><ul><li>4+ years in DevOps / cloud engineering, supporting .NET application delivery to production.</li><li>Experience deploying and operating agentic AI / GenAI services (LLM-based agents) in production.</li><li>Strong CI/CD (Azure DevOps, Git), IaC (Terraform / ARM / Bicep), and scripting (PowerShell / Bash).</li><li>Containerisation &amp; orchestration (Docker, Kubernetes); cloud services (Azure preferred).</li><li>Monitoring / observability tooling; production security &amp; governance practices.</li></ul><p>Pay: AED5,000.00 - AED8,000.00 per month</p><p>Work Location: In person</p>

.NET DevOps Engineer

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>10+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>10+ 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>07/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

Principal Full-Stack Architect (.NET & Cloud)

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