AI DevOps Engineer

Must-Have Qualifications

• 7+ years DevOps/release/platform engineering; has designedenterprise CI/CD systems, not just operated them.
• Production depth in Argo (CD, Workflows, Rollouts) and the GitOps operating model; Kubernetes + AWS at scale.
• IaC (Terraform or equivalent) and policy-as-code (OPA / Kyverno or equivalent) in production.
• Strong Go or Python delivery tooling built as products, with tests and observability.
• Hands-on agentic/LLM automation applied to the SDLC: has shipped agents or LLM-powered bots intoa delivery flow pipeline triage, review assist, automated remediation not just personal Copilot use.
• Fluent AI-assisted development workflow AI-assisted code in PRs is a tracked Intuit KPI.

Nice-to-Have

• SLSA / supply-chain security depth; Backstage or internal developer platform (IDP) experience.
• Ephemeral / preview environment platforms at scale; FinOps.
• MCP tool integrations; CNCF or other open-source contributions.