Platform Engineer

What you'll do

• Run and scale production AWS and EKS, including cluster lifecycle, autoscaling, and platform add-ons (ingress, DNS, certificates, secrets).
• Manage cloud and cluster configuration declaratively with Terraform, Helm, Kustomize, eksctl and GitOps.
• Ship through GitHub Actions and GitOps (Argo CD / Flux), with automated build, test, and dependency gating.
• Handle SAST/DAST scanning, secrets management, and least-privilege IAM (IRSA), plus routine dependency and vulnerability remediation.
• Own metrics, logs, and traces across Datadog and Sentry.
• Operate PostgreSQL, MongoDB / Atlas, OpenSearch / Elasticsearch, and Temporal.
• Build automation and internal tooling in Python, Bash, Go, and Node.js / TypeScript; containerize with Docker.

What you bring

• 5+ years running AWS and Kubernetes in production (EKS preferred), including platform add-ons and AWS-native integration.
• Strong with Terraform and Kubernetes manifests (Helm, Kustomize), plus GitOps delivery (Argo CD and/or Flux).
• Security mindset: SAST/DAST, secrets management, least-privilege IAM, and vulnerability management.
• Observability with metrics, logs, and traces using Datadog, Sentry, or equivalents.
• Programming experience with Node.js / TypeScript and Python, plus Bash scripting on Linux.
• Experience with PostgreSQL and MongoDB; messaging/workflows with Temporal.
• Git / GitHub workflows and a documentation-first, async communication style.
• Networking fundamentals: TCP/IP, DNS, routing, load balancing.

Bonus experience

• AI / ML infrastructure (model-training pipelines, vector search).
• Cloud cost and capacity management at scale.
• Compliance-sensitive environments (e.g., SOC 2, ISO 27001).

Compensation

Full-time offers include base salary, equity, and benefits. Pay range: $160,000-$180,000 based on seniority, relevant experience and location.