Build and maintain infrastructure-as-code (Terraform, Helm) for our AWS EKS and GCP GKE clusters, plus on-premises deployments (including Tanzu and air-gapped environments).
Own CI/CD pipelines (GitHub Actions, Bazel, ArgoCD) and drive GitOps adoption.
Deploy, scale, and optimize ML/NLP inference workloads (vLLM, PyTorch, GPU scheduling with various Kubernetes scalers).
Build and improve observability: Prometheus, Grafana, Datadog, and OpenTelemetry.
Collaborate with Field Engineering to support PoCs and platform deployments in customer cloud VPCs and on-prem environments.
Contribute to backend services (Java 21, Python, gRPC) and platform features.
Improve system reliability, scalability, and developer experience across the engineering org.

2+ years in platform engineering, DevOps, SRE, or backend infrastructure roles.
Strong Kubernetes experience (deployment, debugging, scaling — not just kubectl apply).
Hands-on with infrastructure-as-code: Terraform, Helm, or Pulumi.
Experience with at least one major cloud provider (AWS preferred; GCP or Azure also valued).
Proficiency in one or more of: Go, Python, Java. Comfortable reading and contributing to backend codebases.
Working knowledge of CI/CD systems (GitHub Actions, Bazel, ArgoCD, or similar).
Solid fundamentals in Linux, networking, and distributed systems.

Platform Engineer

Key skills