Design, build, and operate AI-assisted capabilities in platform infra.
Work across Kubernetes, CI/CD, GitOps, observability, FinOps, and IaC to embed AI.
Split time between platform and AI engineering to ship production-grade AI workflows.
Hands-on engineering; success measured by adoption, efficiency, reliability, and cost.

🎯 Requirements

Bachelor's or Master's in CS/Engineering or equivalent practical exp.
4+ years in platform/infrastructure or backend with production cloud (AWS preferred).
Strong Python and/or Go production coding skills.
Kubernetes (EKS), GitOps (Argo CD), CI/CD (GitHub Actions), Terraform/Helm/Kustomize.
Observability with Datadog APM/metrics/tracing/logs.
FinOps experience: cloud cost attribution and AI/LLM spend control.

🎁 Benefits

Healthcare and insurance benefits.
Internet and cell phone reimbursement.
Learning and development stipend.
Opportunities to travel to Mountain View HQ.

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