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Mid LevelFull-timeTypeScriptPythonGolangRustReactRailsAWSKubernetesTerraformMySQL
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a talented and motivated DevOps Engineer to join a small team supporting a much larger engineering organization. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment with a high sense of ownership, and abundant prospects for career advancement.
Key Responsibilities
- →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.
- →Design and evolve Kubernetes-based deployment workflows using GitLab, Helm, and best-practice DevOps patterns.
- →Own platform and infrastructure components that accelerate development—observing bottlenecks, reducing friction, and eliminating repetitive work.
- →Participate in planning for capacity, scaling, and modernization of shared platform components.
Requirements
- ✓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.
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