Key Responsibilities :

- Design, implement, and manage CI/CD pipelines for data and Hadoop applications.

- Develop and maintain automated build, deployment, testing, and release processes.

- Work extensively with OpenShift and containerized application environments.

- Deploy, configure, monitor, and troubleshoot applications across development, testing, and production environments.

- Support Hadoop/Data platform deployments and related DevOps automation.

- Automate infrastructure and application deployment processes using scripting and DevOps tools.

- Collaborate with development, QA, data engineering, and infrastructure teams to improve deployment efficiency.

- Implement best practices for source control, continuous integration, continuous delivery, configuration management, and release management.

- Monitor application/platform health and troubleshoot deployment, performance, and infrastructure issues.

- Participate in production support, incident resolution, root-cause analysis, and continuous improvement initiatives.

- Help define and implement DevOps architecture, standards, and best practices for enterprise data platforms.

- Ensure security, scalability, reliability, and high availability across deployment environments.

Required Technical Skills :

- Strong hands-on experience in DevOps and CI/CD.

- Good experience designing and maintaining CI/CD pipelines.

- Strong working experience with OpenShift.

- Understanding of Kubernetes and container technologies.

- Experience with Hadoop ecosystem / Big Data platforms.

- Good knowledge of Linux/Unix environments.

- Experience with scripting/automation such as Shell/Bash, Python, or similar.

- Experience with Git or other source-code management tools.

- Understanding of build and release management processes.

- Experience troubleshooting application deployments and infrastructure issues.