404 Azure Devops Specialist jobs in the United Arab Emirates

Job Title: Lead DevOps Engineer (Azure, Terraform)
Employment Type: Full-time

Note: This role requires relocation or flexibility to travel to Abu Dhabi (UAE) for periodic onsite client engagements (2 to 3 months)

NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps Engineer (Azure, Terraform) to join its growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing scalable MLOps solutions.

• Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
• Develop and maintain Infrastructure-as-Code using Terraform
• Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters
• Ensure cloud infrastructure is optimized, secure, and monitored effectively
• Collaborate with data science teams to support ML model deployment and operationalization
• Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)
• Build and maintain automated ML pipelines to streamline model lifecycle management

• 8 to 12 years of experience in DevOps and/or MLOps roles
• Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
• Strong expertise in Terraform, including managing and scaling infrastructure across large environments
• Hands-on experience with Kubernetes in larger clusters , including workload distribution, autoscaling, and cluster monitoring
• Strong understanding of containerization technologies (Docker) and microservices architecture
• Solid grasp of cloud networking, security best practices, and observability
• Scripting proficiency in Bash and Python

• Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines
• Knowledge of model performance monitoring and ML system reliability
• Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP

Job Title: Lead DevOps Engineer (Azure, Terraform)

Employment Type: Full-time

Note: This role requires relocation or flexibility to travel to Abu Dhabi (UAE) for periodic onsite client engagements (2 to 3 months).

NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps Engineer (Azure, Terraform) to join its growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing scalable MLOps solutions.

• Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
• Develop and maintain Infrastructure-as-Code using Terraform
• Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters
• Ensure cloud infrastructure is optimized, secure, and monitored effectively
• Collaborate with data science teams to support ML model deployment and operationalization
• Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)
• Build and maintain automated ML pipelines to streamline model lifecycle management

• 8 to 12 years of experience in DevOps and/or MLOps roles
• Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
• Strong expertise in Terraform, including managing and scaling infrastructure across large environments
• Hands-on experience with Kubernetes in larger clusters, including workload distribution, autoscaling, and cluster monitoring
• Strong understanding of containerization technologies (Docker) and microservices architecture
• Solid grasp of cloud networking, security best practices, and observability
• Scripting proficiency in Bash and Python

• Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines
• Knowledge of model performance monitoring and ML system reliability
• Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP

• Mid-Senior level

• Full-time

• Engineering and Information Technology
• Industries
• IT Services and IT Consulting

1 week ago Be among the first 25 applicants

Job Title: Lead DevOps Engineer (Azure, Terraform)
Employment Type: Full-time
Note: This role requires relocation or flexibility to travel to Abu Dhabi (UAE) for periodic onsite client engagements (2 to 3 months)
About The Role
NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps Engineer (Azure, Terraform) to join its growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing scalable MLOps solutions.
Key Responsibilities

• Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
• Develop and maintain Infrastructure-as-Code using Terraform
• Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters
• Ensure cloud infrastructure is optimized, secure, and monitored effectively
• Collaborate with data science teams to support ML model deployment and operationalization
• Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)
• Build and maintain automated ML pipelines to streamline model lifecycle management
  

• 8 to 12 years of experience in DevOps and/or MLOps roles
• Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
• Strong expertise in Terraform, including managing and scaling infrastructure across large environments
• Hands-on experience with Kubernetes in larger clusters, including workload distribution, autoscaling, and cluster monitoring
• Strong understanding of containerization technologies (Docker) and microservices architecture
• Solid grasp of cloud networking, security best practices, and observability
• Scripting proficiency in Bash and Python
  

• Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines
• Knowledge of model performance monitoring and ML system reliability
• Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

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Job Title: Lead DevOps Engineer (Azure, Terraform)
Employment Type: Full-time

Note: This role requires relocation or flexibility to travel to Abu Dhabi (UAE) for periodic onsite client engagements (2 to 3 months)

NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps Engineer (Azure, Terraform) to join its growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing scalable MLOps solutions.

• Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
• Develop and maintain Infrastructure-as-Code using Terraform
• Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters
• Ensure cloud infrastructure is optimized, secure, and monitored effectively
• Collaborate with data science teams to support ML model deployment and operationalization
• Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)
• Build and maintain automated ML pipelines to streamline model lifecycle management

• 8 to 12 years of experience in DevOps and/or MLOps roles
• Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
• Strong expertise in Terraform, including managing and scaling infrastructure across large environments
• Hands-on experience with Kubernetes in larger clusters , including workload distribution, autoscaling, and cluster monitoring
• Strong understanding of containerization technologies (Docker) and microservices architecture
• Solid grasp of cloud networking, security best practices, and observability
• Scripting proficiency in Bash and Python

• Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines
• Knowledge of model performance monitoring and ML system reliability
• Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP

Job Title: Lead DevOps Engineer (Azure, Terraform)
Employment Type: Full-time

Note: This role requires relocation or flexibility to travel to Abu Dhabi (UAE) for periodic onsite client engagements (2 to 3 months)

NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps Engineer (Azure, Terraform) to join its growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing scalable MLOps solutions.

• Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
• Develop and maintain Infrastructure-as-Code using Terraform
• Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters
• Ensure cloud infrastructure is optimized, secure, and monitored effectively
• Collaborate with data science teams to support ML model deployment and operationalization
• Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)
• Build and maintain automated ML pipelines to streamline model lifecycle management

• 8 to 12 years of experience in DevOps and/or MLOps roles
• Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
• Strong expertise in Terraform, including managing and scaling infrastructure across large environments
• Hands-on experience with Kubernetes in larger clusters , including workload distribution, autoscaling, and cluster monitoring
• Strong understanding of containerization technologies (Docker) and microservices architecture
• Solid grasp of cloud networking, security best practices, and observability
• Scripting proficiency in Bash and Python

• Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines
• Knowledge of model performance monitoring and ML system reliability
• Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP

We are a dynamic and innovative technology company specializing in developing cutting-edge software solutions for our clients worldwide. Our approach blends creativity, technology, and business acumen to create solutions that drive business growth across various sectors. Our team comprises passionate technologists and innovative problem solvers dedicated to building software that makes a difference.

As we continue to grow, we are constantly on the lookout for dynamic individuals who are passionate about technology and eager to make a difference. We are currently recruiting a team of talented Azure DevOps Engineers with experience building scalable and secure applications. Join our dynamic and collaborative team to work on exciting projects and make a significant impact in the industry.

As an Azure DevOps Engineer for a UAE-based company, you will be an expert in the C# programming language and have strong knowledge of the .NET framework. You should possess in-depth knowledge of AWS/Azure cloud services and architecture, along with proven experience designing and implementing CI/CD pipelines.

We offer competitive compensation, a stimulating work environment, opportunities for professional growth and advancement, and a culture that values teamwork and innovation. If you are an Azure DevOps Engineer with a passion for delivering high-quality code and leading development initiatives, we look forward to receiving your application.

Apply now and be part of our exciting journey!

Note: Please make sure to include a cover letter and a detailed portfolio demonstrating your Azure DevOps Engineer experience and projects you have worked on.

If you would like to work with us, please fill the form here and one of our team members will reach out to you.

Job Title: Lead DevOps Engineer (Azure, Terraform)
Employment Type: Full-time

Note: This role requires relocation or flexibility to travel to Abu Dhabi (UAE) for periodic onsite client engagements (2 to 3 months)

NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps Engineer (Azure, Terraform) to join its growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing scalable MLOps solutions.

• Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
• Develop and maintain Infrastructure-as-Code using Terraform
• Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters
• Ensure cloud infrastructure is optimized, secure, and monitored effectively
• Collaborate with data science teams to support ML model deployment and operationalization
• Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)
• Build and maintain automated ML pipelines to streamline model lifecycle management

• 8 to 12 years of experience in DevOps and/or MLOps roles
• Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
• Strong expertise in Terraform, including managing and scaling infrastructure across large environments
• Hands-on experience with Kubernetes in larger clusters , including workload distribution, autoscaling, and cluster monitoring
• Strong understanding of containerization technologies (Docker) and microservices architecture
• Solid grasp of cloud networking, security best practices, and observability
• Scripting proficiency in Bash and Python

• Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines
• Knowledge of model performance monitoring and ML system reliability
• Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP

We're Hiring: Azure Migration Engineer (with DevOps & Network Security Skills) – UAE

We are looking for a highly skilled Azure Migration Engineer who can drive secure, large-scale cloud migration projects while embedding DevOps automation and network security best practices. This role is ideal for someone who thrives at the intersection of migration, security, and automation.

Key Responsibilities

Lead enterprise-scale Azure migration projects (servers, apps, DBs, networks)

Design & implement secure network architectures with NSGs, Azure Firewall, WAF & DDoS Protection

Automate with CI/CD pipelines, Infrastructure as Code (ARM, Bicep, Terraform)

Implement security-first DevOps (vulnerability scanning, compliance checks, secrets management)

Ensure regulatory compliance (SOC 2, PCI DSS, HIPAA, ISO 27001)

Drive zero-trust and hybrid connectivity (VPN, ExpressRoute)

Required Skills & Experience

9+ years in Azure migration, DevOps, and network security

Hands-on experience with 1000+ VM migrations with zero security incidents

Expertise in Azure VMs, AKS, SQL DB, Cosmos DB, Key Vault, Sentinel, Security Center

Strong track record in firewall management, SIEM/SOAR, and penetration testing

Solid scripting/automation skills (PowerShell, Python, Bash)

Certifications (Required / Preferred)

Required: Azure Solutions Architect Expert (AZ-305), Azure Security Engineer (AZ-500)

Preferred: Azure DevOps Engineer (AZ-400), Azure Network Engineer (AZ-700)

Security Certs: CISSP / CISM / CEH / Security+ (at least one required)

Location: UAE

Interested candidates can share their profiles at

Job Type: Full-time

Interested candidates can email at or WhatsApp

Job Role Position: Azure Data Engineer

Must Have Skills :
Azure DE, Microsoft fabric, PySpark, SQL

Experience : 8+ years

Notice Period : 15 days to immediate joiner

Location :Dubai (UAE)

Summary

The Data Engineer will build and maintain data pipelines, storage layers, data products based on the architecture design and meet organizational requirements. This role involves working closely with end client and team consisting of backend engineers, cloud engineers, and data analysts to enable seamless data integration and building robust data platforms on Azure cloud.

Key Responsibilities -

Overall Responsibilities

• Design, develop and manage data pipelines on Microsoft Azure for internal and external data sources.

• Develop ingestion frameworks for batch and real-time data.

• Ensure data pipelines are optimized for reliability and scalability.

• Ensure the scalability, security, and performance of our cloud architecture while aligning with business goals.

• Work closely with solution architect, backend developers, data governance specialists

Technical Responsibilities

• Collaborate with business stakeholders to translate functional requirements into scalable technical solutions.

• Hands-on experience with Microsoft Fabric platform in building end-to-end data solutions.

• Hands-on experience with building pipelines using MS Fabric.

• Build and optimize data lake zones (raw, curated, consumption)

• Proficiency in developing business and dataflow logic for data processing using tools like PySpark, T SQL, Stored Procedures

• Experience implementing message queues using Azure Service Bus

• Integrate cloud-based solutions with on-premises systems.

• Implement infrastructure as code (IaC) solutions using Terraform for consistent, automated provisioning

• In-depth knowledge of Azure architecture components, including compute, storage, networking, and security.

• Optimize cloud storage solutions for performance and cost.

• Establish monitoring and logging solutions using Azure Monitor, Log Analytics, Application Insights, and third-party tools.

• Configure automated scaling solutions to handle workload fluctuations.

• Create and maintain comprehensive architecture documentation, including diagrams, processes, and technical specifications