Senior Staff Engineer - DevOps Engineer
Summary
Leads DevOps/SRE work on AWS with Terraform, GitHub Actions CI/CD, and DevSecOps practices, while setting team standards for AI coding assistants and integrating AI into developer workflows.
- 8+ years of software/platform engineering, with demonstrated technical leadership of a team or major workstream
- Expert in TypeScript/JavaScript (Node.js) and strong in Python
- Deep AWS experience and production Terraform/IaC skills
- Expert with GitHub Actions and CI/CD pipeline design; strong Git/GitHub fluency (GitHub Enterprise/EMU a plus)
- Solid grounding in DevSecOps — SAST/SCA, dependency and vulnerability remediation, secrets management
- Comfortable in Linux/shell, Docker, and operating production services (on-call, incident/change management)
- Excellent written communication — this team documents heavily (runbooks, playbooks, PRRs)
AI skills & knowledge (required)
- Daily, fluent use of AI coding assistants — Claude Code and/or GitHub Copilot — for implementation, refactoring, test generation, and code review
- Ability to establish team standards for AI-assisted development: effective prompting, when to trust vs. verify generated code, security/IP guardrails, and reviewing AI-authored changes
- Working understanding of LLM fundamentals — context windows, tokens, model selection, and prompt/context engineering
- Experience integrating AI into developer workflows and agentic/automation tooling (e.g., MCP servers, AI-driven CI steps, codegen and doc-generation pipelines)
- Able to evaluate AI tooling pragmatically — measuring real productivity and quality impact, not hype
Nice to have
- Azure secure-access patterns; AWS session-manager / IAM (ALKS) experience
- Building developer platforms / internal paved-road tooling at scale
Must have skills: DevOps - AWS (Expert), DevSecOps, GitHub Actions (Expert), Node JS, Python (Strong)