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Deeplight AI

<div>
 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.
 
 
 At DeepLight, we don't believe in "off-the-shelf" 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.
 
 
 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.
 
 
 
 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>
 
 Requirements
 
 
 
 We need you to have:
 
 
 <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>
 It would also be great if you:
 
 
 <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>
 
 Benefits
 
 
 
 
 The benefits you'll enjoy as part of this role include:
 
 
 
 <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>
 
 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.
 
 
 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.
 
 
 
 
 Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
 
 
 
 
 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.
 
</div>

DevOps Engineer

Deeplight

<div>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.
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.
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.
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> 

Requirements 
We need you to have:<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>
It would also be great if you:<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> 

Benefits 
The benefits you'll enjoy as part of this role include: 
<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> 
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. 
 
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.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
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.</div>

D4 Insight

<div>
 
 Location:
 
 Abu Dhabi
 
 
 
 Experience:
 
 5+ Years
 
 
 
 Role Overview
 
 
 
 The DevOps Engineer will manage deployment automation, cloud infrastructure, Kubernetes operations, and platform reliability across Azure-based AI environments.
 
 
 
 Key Responsibilities
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Azure
 </li>
 <li>
 AKS
 </li>
 <li>
 Terraform
 </li>
 <li>
 Bicep
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 CI/CD
 </li>
 <li>
 DevOps Automation
 
 
 </li>
 </ul>
 📩
 
 Apply Now: careers@d4insight.com
 
</div>

MH Markets

<ul><li>Manage and maintain Linux and Windows Server environments for production and staging systems.</li><li>Operate, monitor, and troubleshoot Kubernetes clusters, including Pods, Services, Ingress, ConfigMaps, Secrets, Helm, and ArgoCD.</li><li>Manage AWS cloud infrastructure, including EC2, VPC, Security Groups, ALB/NLB, CloudFront, Route 53, ACM, WAF, RDS, ElastiCache, S3, CloudWatch, CloudTrail, GuardDuty, and Security Hub.</li><li>Perform Windows Server performance tuning, including CPU usage analysis, memory optimization, disk I/O troubleshooting, network tuning, ENA driver issues, RSS configuration, Event Viewer analysis, and Defender impact analysis.</li><li>Maintain and optimize Nginx / OpenResty reverse proxy configurations, SSL certificates, rewrite rules, proxy settings, access logs, rate limiting, and upstream troubleshooting.</li><li>Build and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, ArgoCD, or similar tools.</li><li>Implement and improve monitoring, logging, and alerting systems using Prometheus, Grafana, Alertmanager, Zabbix, CloudWatch, Wazuh, ELK, or OpenSearch.</li><li>Support database and middleware operations, including MySQL, PostgreSQL, Redis, RabbitMQ, and related services.</li><li>Investigate and resolve production incidents, perform root cause analysis, prepare incident reports, and implement preventive improvements.</li><li>Work closely with development, DBA, security, network, and business teams to ensure system reliability, performance, and security.</li><li>Assist with server hardening, vulnerability remediation, access control, log auditing, security monitoring, and compliance-related tasks.</li><li>Support infrastructure for forex-related systems such as CRM, Client Portal, payment gateway, MT4/MT5-related services, and trading platform integrations.</li></ul>Pay: AED7,000.00 - AED10,000.00 per monthApplication Question(s):<ul><li>Are agreeing to accept salary between 7k-10k AED for this position?</li></ul>Work Location: In person

DICETEK LLC

<div>Key Responsibilities:<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>
Required Skills &amp; Experience<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>
Mandatory Certifications<ul><li>Azure Solution Architect OR</li><li>AWS Solution Architect</li></ul>
(At least one certification is required)</div>

Cloud and DevOps Engineer

HCLTech

Others, Abu Dhabi
 Job Summary
 The Lead Consultant for DevOps Solutions in Azure is responsible for managing and implementing DevOps practices using Azure DevOps. The primary goal is to optimize the software development lifecycle by enhancing collaboration, automation, and integration between development and operations teams.
 Key Responsibilities
 1. Designing, developing, and implementing devops pipelines and workflows in azure devops.
 2. Collaborating with development and operations teams to facilitate continuous integration and continuous deployment (ci/cd).
 3. Monitoring and optimizing the performance of azure devops tools and processes.
 4. Troubleshooting and resolving issues related to devops practices in azure.
 5. Providing technical guidance and support to team members on azure devops best practices.
 6. Implementing security measures within the devops process to ensure data protection and compliance.
 7. Conducting regular assessments and evaluations to improve the efficiency of devops solutions in azure.
 Skill Requirements
 1. Proficiency in azure devops services and tools.
 2. Strong understanding of devops principles and practices.
 3. Experience with ci/cd pipelines and automation using azure devops.
 4. Knowledge of containerization technologies such as docker and kubernetes.
 5. Familiarity with scripting languages like powershell, bash, or python.
 6. Ability to troubleshoot and resolve technical issues in devops workflows.
 7. Excellent communication and collaboration skills to work effectively with cross functional teams.
 8. Strong problem-solving skills and attention to detail in implementing devops solutions in azure.
 Other Requirements
 1.Azure DevOps Engineer Expert certification is preferred but not mandatory required.
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Azure DevOps Lead Technical Consultant

Vanderlande

<div>
 
 Together we make a difference
 
 
 
 We are a leading provider of innovative, high-performance solutions for airport logistics. Our portfolio includes products and services for baggage and cargo handling, advanced software for the digitalization of logistics processes, and a comprehensive range of maintenance and support services. Our major clients include renowned airports and airlines around the world.
 
 
 Join our
 
 Digital IT team
 
 as an
 
 IT Specialist
 
 in Dubai, UAE, where you will play a key role in managing cloud infrastructure and application administration within a dynamic and fast-paced environment.
 
 
 
 What are my responsibilities?
 
 
 
 <ul>
 <li>
 Work within a DevOps environment and support rapid infrastructure deployments in collaboration with software developers.
 </li>
 <li>
 Support 24/7 IT operations, including system monitoring and incident response.
 </li>
 <li>
 Administer cloud-based systems, including installation, configuration, patching, and security management.
 </li>
 <li>
 Monitor applications and infrastructure proactively to ensure service availability.
 </li>
 <li>
 Handle incidents and problems, ensuring resolution within agreed SLAs.
 </li>
 <li>
 Manage software deployments, upgrades, and system enhancements.
 </li>
 <li>
 Support technologies such as Docker, SQL, MongoDB, APIs, and DataOps tools such as StreamSets.
 </li>
 <li>
 Support application environments involving Enterprise Java, VB, and GitHub.
 </li>
 <li>
 Perform Windows and Linux server installation, administration, and maintenance.
 </li>
 <li>
 Support IT network administration and related operational activities.
 
 
 </li>
 </ul>
 
 What do I need to qualify for the role?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, IT Engineering, or a related field.
 </li>
 <li>
 Minimum 3 years of experience in cloud infrastructure and services.
 </li>
 <li>
 Hands-on experience with databases, end-user applications, and system administration.
 </li>
 <li>
 Experience with Enterprise Java, VB, and GitHub applications.
 </li>
 <li>
 Strong knowledge of cloud system administration, including configuration, patching, and security.
 </li>
 <li>
 Relevant IT certifications would be an advantage.
 </li>
 <li>
 Ability to work in shifts and manage responsibilities independently under pressure.
 </li>
 <li>
 Strong problem-solving, critical-thinking, organization, and time-management skills.
 </li>
 <li>
 Excellent communication and interpersonal skills, with the ability to work effectively with internal and external stakeholders.
 </li>
 </ul>
</div>

IT Specialist - Cloud Administrative

Explore 468+ Devops engineer in United Arab Emirates this July. Find roles across top companies and apply now to boost your career.

468 devops engineer jobs In United Arab Emirates

DevOps Engineer

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Azure DevOps Lead Technical Consultant

IT Specialist - Cloud Administrative