Act as a technical partner to developers—debugging pipelines, build failures, and deployment/configuration issues.
Diagnose CI/CD failures across GitLab, Helm, Kubernetes, and container build systems.
Work closely with engineers across the company to understand pain points and opportunities for tooling enhancements.
Leverage AI tooling to help yourself and other teams be more productive in pipeline development and troubleshooting.
Continue building new AI tooling into the pipelines and deployments, partnering with the infrastructure, security, and developer teams to automate as much as we can and find problems early.
Promote best practices in DevOps, CI/CD, deployment reliability, and platform operations.
Measure and optimize the performance, reliability, and maintainability of CI/CD pipelines and platform services.
Drive initiatives to reduce waste in the development lifecycle: Implement guardrails and automation that improve quality without slowing velocity.
Build, maintain, and scale CI/CD tooling.

At least 3 years of DevOps, platform, or full-stack software engineering experience.
Practical experience with Kubernetes, Helm, and containerized deployment workflows.
Comfort with shell scripting and automation in Linux-based environments.
Familiarity with AI-based dev tooling, such as Claude Code, Codex, Gemini CLI, Cursor.
BS in Computer Science or similar degree, or equivalent work experience.

DevOps Engineer II

Key skills