BE|BTech|MCA candidates having 7+ years of hands-on experience in building, automating, and managing scalable infrastructure and CI/CD pipelines. The ideal candidate will have strong expertise in Kubernetes, Docker, Linux Administration, scripting, and infrastructure automation, with a passion for improving deployment efficiency, system reliability, and operational excellence.

Key Responsibilities :

- Design, implement, and maintain CI/CD pipelines for application deployment and release management.

- Manage and optimize containerized environments using Docker and Kubernetes.

- Administer and troubleshoot Linux-based production and non-production environments.

- Develop automation solutions using Bash and Python scripting.

- Implement Infrastructure as Code (IaC) and configuration management practices.

- Monitor system performance, availability, and security, ensuring high reliability and uptime.

- Collaborate with development, QA, and infrastructure teams to streamline deployment processes.

- Perform root cause analysis and resolve complex production issues.

- Create and maintain technical documentation, runbooks, and operational procedures.

- Drive continuous improvement initiatives across DevOps processes and tooling.

Required Skills :

- 7+ years of experience in DevOps, Infrastructure Engineering, or Site Reliability Engineering (SRE).

- Strong experience with CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar.

- Hands-on expertise in Docker and Kubernetes (K8s).

- Strong Linux Administration skills (RHEL, CentOS, Ubuntu, etc.).

- Proficiency in Bash/Shell scripting and Python.

- Experience with automation and configuration management tools such as Ansible, Terraform, or similar.

- Strong understanding of Git version control and branching strategies.

- Experience with monitoring and logging tools like Prometheus, Grafana, ELK, Splunk, or equivalent.

- Knowledge of networking, security, and performance optimization concepts.

Preferred Skills :

- Experience working in enterprise-scale production environments.

- Exposure to cloud platforms (AWS, Azure, or GCP).

- Kubernetes, Docker, or Cloud certifications are a plus.

- Experience with Infrastructure as Code and DevSecOps practices.