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Senior DevOps (Azure, Terraform) Engineer - (Travelling to UAE Required)

7 years

0 Lacs

India

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

devops azure terraform kubernetes ai engineering design jenkins github code orchestration data support ml model deployment versioning strategies monitoring drift tracking mlflow management aws docker microservices networking security scripting python sagemaker reliability stack gcp

Work Mode

Remote

Job Type

Full Time

Job Description

Senior DevOps (Azure, Terraform, Kubernetes) Engineer

Location:

Remote (Initial 2–3 months in Abu Dhabi office, and then remote from India)

T

ype:

Full-time | Long-term | Direct Client Hire

Client: Abu Dhabi Government

About The Role

Our client, UAE (Abu Dhabi) Government, is seeking a highly skilled

Senior

DevOps Engineer (with skills on Azure, Terraform, Kubernetes, Argo)

to join their growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud Azure DevOps practices.

Key Responsibilities

  • Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps, AKS
  • 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

Required Skills

  • 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

Preferred Skills

  • 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
Skills: argo,terraform,kubernetes,azure

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