> Markdown version of [/jobs/ext/4004547-senior-azure-devops](https://www.wearedevelopers.com/jobs/ext/4004547-senior-azure-devops). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Azure Devops

- **Company:** Tata Consultancy Services Limited
- **Location:** Eden Prairie, MN, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Bash Shell, DevOps, Identity and Access Management, Python (Programming Language), Key Management, MongoDB, Policy as Code, Data Logging, Scripting, Spring Cloud, Containerization, Kubernetes, Information Technology, Deployment Automation, Machine Learning Operations, Terraform, Docker, Jenkins
- **Published:** October 29, 2026
- **Apply:** https://diversityjobs.com/career/18776684/Senior-Azure-Devops-Minnesota-Eden-Prairie

## About the Role

5+ years in DevOps/SRE roles supporting cloud-native applications.

 - Hands-on experience with Jenkins (or similar), Terraform, Docker, and Kubernetes.
 - Strong scripting skills (Bash/Python) and comfort troubleshooting production issues.
 - Knowledge of networking, IAM, and security hardening practices.
 - Experience setting up observability stacks and reliability metrics (SLOs).
Preferred / Nice to Have

 - Experience with ML workloads (GPU nodes, model serving, monitoring drift/quality).
 - Experience with GitOps tools and progressive delivery.
 - Certifications in cloud or Kubernetes.
Core Skills (from POD sheet)
Jenkins, Terraform, Docker, Kubernetes, Bash
Preferred:

 * Experience with MongoDB
 * Operational integration of AI
 * Jenkins pipeline development, BACHELOR OF COMPUTER SCIENCE

## Description

Build and maintain CI/CD pipelines for applications and ML components.

 - Provision and manage infrastructure using IaC; standardize environments across dev/test/prod.
 - Operate container platforms (Kubernetes) and deployment strategies (blue/green, canary).
 - Implement monitoring, logging, alerting, and incident response playbooks.
 - Support MLOps automation: model packaging, deployment, and runtime monitoring.
 - Drive security and compliance automation (scans, secrets management, policy-as-code).