Senior Azure Devops Engineers

Job Summary We are seeking an experienced Senior Azure DevOps Engineer with strong hands-on expertise in Azure DevOps, Azure Cloud, Kubernetes, AKS, Docker, Terraform, GitHub Actions, and CI/CD pipeline development. The ideal candidate will be comfortable building CI/CD pipelines from scratch, managing containerized microservices environments, automating infrastructure deployments, and supporting the transition from Azure DevOps to GitHub. Strong communication skills and hands-on scripting experience with Python and Bash are required. Experience with Snowflake and AI technologies such as LangGraph is also desirable. Key Responsibilities Design, build, maintain, and optimize CI/CD pipelines from scratch. Develop and manage CI/CD workflows using Azure DevOps and GitHub Actions. Support the transition of development and deployment workflows from Azure DevOps (ADO) to GitHub. Implement and manage branching strategies across development teams and repositories. Deploy, manage, and support microservices running on Kubernetes environments. Work extensively with Azure Kubernetes Service (AKS) and Kubernetes (K8s). Manage Docker containers and containerized application deployments. Implement Terraform-based infrastructure deployments using reusable workflows. Develop reusable Infrastructure as Code (IaC) components and deployment workflows using Terraform. Manage Azure Blob Storage and associated access policies. Configure and maintain authentication and access controls across cloud and application environments. Execute and support automated test cases using tools such as SonarQube and JUnit. Integrate code quality and automated testing into CI/CD pipelines. Develop automation scripts using Python and Bash. Collaborate with development, testing, infrastructure, and application teams to improve deployment processes and operational efficiency. Work with internal enterprise tools and platforms in addition to standard DevOps technologies. Support database-related requirements and integrations, including Snowflake. Contribute to AI-enabled development and automation initiatives, including LangGraph flows. Troubleshoot build, deployment, infrastructure, authentication, container, and pipeline issues. Continuously improve automation, reliability, security, and deployment processes. Required Qualifications Strong hands-on experience with Azure DevOps. Strong experience with Azure Cloud. Expert-level hands-on experience with Kubernetes/K8s. Hands-on experience deploying and managing microservices on Kubernetes, particularly Azure Kubernetes Service (AKS). Strong experience with Docker container management. Experience with Azure Blob Storage and access policies. Strong understanding of Git branching strategies. Strong hands-on experience with Terraform for infrastructure deployment. Experience creating reusable Terraform workflows. Strong hands-on experience with GitHub Actions. Experience building CI/CD pipelines from scratch. Experience transitioning or migrating CI/CD workflows from Azure DevOps to GitHub. Experience integrating automated testing and code quality tools such as SonarQube and JUnit. Strong understanding of authentication and access management. Strong Python scripting skills. Strong Bash scripting skills. Good communication skills with the ability to work effectively across technical teams. Knowledge of databases and experience with Snowflake. Preferred Qualifications Azure/Kubernetes certification or equivalent experience. Azure Kubernetes Service (AKS) certification or relevant Kubernetes certification. Experience working with enterprise-specific DevOps tools and platforms. Experience with LangGraph flows or similar AI/agentic AI technologies. Experience supporting large-scale microservices environments. Experience with advanced Terraform reusable modules and workflows. Experience with cloud migration and modernization initiatives. Education: Bachelors Degree