Role & responsibilities

- Develop, deploy, and manage containerized applications using Docker and Kubernetes.

- Create and maintain automation solutions using Python, Bash, and PowerShell scripting.

- Administer and support Perforce environments, including user management and access control.

- Manage GitHub repositories, permissions, and repository configurations.

- Configure, monitor, and troubleshoot GitHub Actions workflows and self-hosted runners.

- Support and optimize CI/CD pipelines using Jenkins and GitHub Actions.

- Administer JFrog Artifactory/Nexus repositories and artifact lifecycle management.

- Monitor platform health using Grafana, Prometheus, and related observability tools.

- Perform Linux system administration, troubleshooting, and performance optimization.

- Investigate and resolve infrastructure, deployment, and source control issues.

- Collaborate with development, integration, and release teams for smooth software delivery.

- Follow DevOps best practices, automation standards, and operational excellence processes.

- Continuously improve deployment, monitoring, and infrastructure automation processes.

- Support next-generation platform engineering initiatives and cloud-native solutions.

Preferred candidate profile

- 6-12 years of experience in DevOps,



Platform Engineering, Build & Release, or Infrastructure Automation.

- Hands-on experience in Python scripting and Bash scripting for automation and operational tasks.

- Robust expertise in Docker, Containers, and Kubernetes (K8s) environments.

- Experience with CI/CD pipeline implementation and management using Jenkins and GitHub Actions.

- Good understanding of GitHub repository administration, access management, and workflow troubleshooting.

- Experience working with JFrog Artifactory/Nexus Repository Manager.

- Knowledge of Ansible for configuration management and automation.

- Strong Linux administration and troubleshooting skills.

- Exposure to Perforce administration, source code management, or build/release environments is preferred.

- Experience with monitoring and observability tools such as Grafana and Prometheus.

- Strong problem-solving, debugging, and incident triaging skills.

- Excellent communication skills with the ability to work effectively in cross-functional teams.

- Candidates from DevOps, SRE, Platform Engineering, Release Engineering, Build Engineering, or Cloud Operations backgrounds are highly preferred.

📌 DevOps Engineer - Python, Docker, Kubernetes & CI/CD (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad