533 Azure Devops jobs in the United Arab Emirates
Azure DevOps
Posted today
Job Viewed
Job Description
NorthBay is a leading AWS Premier Partner, is seeking a highly skilledLead DevOps / MLOps Engineer (Azure, Terraform) to join their 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 MLOps solutions at scale.
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 container orchestration environments using Kubernetes
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
7+ years of experience in DevOps and/or MLOps roles
Proficient in CI/CD tools : Jenkins, GitHub Actions, Azure DevOps
Strong expertise in Terraform and cloud-native infrastructure (AWS preferred)
Hands-on experience with Kubernetes , Docker, and microservices
Solid understanding of cloud networking, security, and monitoring
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
Azure DevOps Engineer
Posted today
Job Viewed
Job Description
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
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Azure DevOps Engineer
Posted today
Job Viewed
Job Description
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
Azure DevOps Engineer
Posted today
Job Viewed
Job Description
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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#J-18808-LjbffrAzure DevOps Engineer
Posted today
Job Viewed
Job Description
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.
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
- Mid-Senior level
- Full-time
- Engineering and Information Technology
- Industries
- IT Services and IT Consulting
Azure DevOps Engineer
Posted today
Job Viewed
Job Description
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
Azure DevOps Engineer - Lead
Posted today
Job Viewed
Job Description
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
Be The First To Know
About the latest Azure devops Jobs in United Arab Emirates !
Azure Devops Engineer(UAE)
Posted today
Job Viewed
Job Description
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.
Job SummaryAs 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.
Ready to Join Our Team?If you would like to work with us, please fill the form here and one of our team members will reach out to you.
#J-18808-LjbffrAzure DevOps Engineer - Lead
Posted today
Job Viewed
Job Description
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
Azure DevOps (MLOps) Engineer - Lead
Posted today
Job Viewed
Job Description
About the Role:
NorthBay is a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps / MLOps Engineer (Azure, Terraform) to join their 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 MLOps solutions at scale.
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 container orchestration environments using Kubernetes
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
7+ years of experience in DevOps and/or MLOps roles
Proficient in CI/CD tools : Jenkins, GitHub Actions, Azure DevOps
Strong expertise in Terraform and cloud-native infrastructure (AWS preferred)
Hands-on experience with Kubernetes , Docker, and microservices
Solid understanding of cloud networking, security, and monitoring
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