DevOps Engineer - CI/CD Pipeline

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.