Azure DevOps Engineer - Automation | Python

We are looking for an experienced Senior DevOps Automation Engineer with strong Python development and CI/CD automation expertise to design, build, and optimize enterprise-grade DevOps solutions. The role involves automating application and infrastructure workflows, developing robust pipelines, and supporting Azure cloud environments.

You will collaborate with cross-functional teams, contribute to technical architecture, and drive automation best practices across the organization.

• 7+ years of hands-on Python development and automation experience.
• Strong experience with GitLab CI/CD and/or Azure DevOps pipelines.
• Practical experience with Docker, Linux troubleshooting, and Shell/Bash scripting.
• Experience integrating REST APIs and automating infrastructure and application workflows.
• Strong understanding of CI/CD pipelines, YAML, and deployment automation.
• Experience with Azure cloud services and Infrastructure as Code (Terraform).
• Ability to prepare and present High-Level Designs (HLD) and Low-Level Designs (LLD).
• Strong troubleshooting, communication, collaboration, and technical problem-solving skills.

Preferred Skills

• Experience with Terraform modules and infrastructure provisioning.
• Knowledge of ServiceNow and Agile delivery methodologies.
• Experience with Python frameworks such as FastAPI and Django.
• Familiarity with Azure Kubernetes Service (AKS), Azure Monitor, Key Vault, RBAC, and DevSecOps practices.
• Experience with cloud security, monitoring, disaster recovery, and cost optimization.

Key Responsibilities

• Design, implement, and maintain secure, scalable CI/CD pipelines.
• Develop Python-based automation solutions for application and infrastructure operations.
• Optimize build, test, deployment, and release processes.
• Support Azure cloud provisioning, monitoring, and production troubleshooting.
• Define DevOps standards, contribute to architecture decisions, and mentor team members.
• Collaborate with product owners, engineering teams, and end users on estimation, delivery, and acceptance testing.