DevOps Engineer

Job Responsibilities:

• Configure, maintain, and improve Jenkins CI/CD jobs for per-checkin, nightly, weekly, and release builds across multiple projects.
• Develop and optimize CI/CD pipeline scripts using Python, shell, and batch scripting for Windows and Linux environments.
• Set up and configure DevOps environments, including Jenkins nodes for both Windows and Linux.
• Create Dockerfiles and Docker images for pipelines or Jenkins nodes as needed.
• Install tools for CI/CD pipelines using Docker, Ansible, or manual methods for Windows and Linux environments.
• Provide release builds for QA testing during the release cycle.
• Lead Gerrit-to-GitHub migration efforts, including updating Jenkins jobs and pipeline scripts.
• Integrate component drivers into Windows driver build systems using Make/Makefile and EWDK.
• Develop support tools such as JIRA query automation, patch checking (e.g., copyright/bad word scans), report parsing for tools like LDRA or Coverity, and branch change propagation across projects.
• Troubleshoot and resolve issues related to Jenkins jobs, pipelines, and build environments.
• Offer DevOps support, including Git/GitHub-related queries, submodule issues, and system environment setups for development teams.

Requirements:

System Administration:

• Proficiency in Linux and Windows environments.
• Expertise in shell/BASH scripting, SSH, user management, and environment configuration.

Integration and Release:

• Hands-on experience with Jenkins CI/CD, including Groovy pipelines.
• Skilled in scripting languages such as Python, Shell, and Bash.
• Proficient in Docker containerization and pipeline development.
• Experience in debugging logs and managing releases for external customers.

Source Code Management:

• Strong knowledge of Git/Gerrit workflows, including rebase, cherry-pick, and patch generation.
• Familiarity with Git-repo tools (e.g., AOSP workflows).
• Experience with build systems, including C/C++, Makefile, and CMake.

Preferred Skills:

• Experience with automated tools like LDRA or Coverity for static analysis.
• Familiarity with Docker and Ansible for environment and tool setup.