Platform Engineer

Office Hours

8d•$160,000 - $180,000•Hybrid

About The Position

As a Senior Platform Engineer at Office Hours, you'll own the infrastructure and platform that power our marketplace and the products our experts and customers depend on every day. Your focus will be keeping our systems reliable, observable, secure, and easy to operate—with a strong emphasis on automation, security, and operational excellence. This is a high-ownership role on a fast-growing, high-leverage team. You'll partner closely with product and platform engineers to reduce operational toil, harden our security posture, and give teams the confidence to ship quickly and safely as we scale.

Requirements

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 Actions, plus GitOps delivery (Argo CD and/or Flux).
SAST/DAST, secrets management, least-privilege IAM, and vulnerability management as routine work.
Metrics, logs, and traces with Datadog, Sentry, or equivalents.
Node.js / TypeScript and Python, plus Bash scripting on Linux.
PostgreSQL and MongoDB; messaging/workflows with Temporal.
Git / GitHub workflows and a documentation-first, async communication style.
TCP/IP, DNS, routing, load balancing.

Nice To Haves

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

Responsibilities

Run and scale production AWS and EKS — cluster lifecycle, autoscaling, and the platform add-ons that keep it healthy (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.
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.