About Us

Office Hours is an on-demand expert network that connects leading organizations with trusted experts across various knowledge domains. Experts earn income by sharing their knowledge through advisory work, projects, and AI model training. Our platform handles the complexities behind the scenes—screening, compliance, scheduling, and payments—so knowledge sharing stays focused on meaningful insights and real impact.

We're a hyper-growth and profitable company, quickly expanding our expert network, launching new offices, and new products. We are headquartered in San Francisco, with offices in Brooklyn and Bangalore. Our customers include the fastest-growing digital health companies, technology companies, institutional investment firms, consulting firms and AI Labs. We are backed by top marketplace investors and operators of companies like DoorDash, Airbnb, Affirm.

What We Believe

Human knowledge is the world's most valuable asset. And yet, despite being more interconnected than ever, most knowledge still remains stuck in our heads, inaccessible and underutilized. Our vision is to make human knowledge easily accessible and infinitely scalable by building tools for the new age knowledge economy.

About the Role

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.

What You’ll Do

Cloud & Kubernetes: Run and scale production AWS and EKS — cluster lifecycle, autoscaling, and the platform add-ons that keep it healthy (ingress, DNS, certificates, secrets)
Infrastructure as Code: Manage cloud and cluster configuration declaratively with Terraform, Helm, Kustomize, eksctl and GitOps
CI/CD & GitOps: Ship through GitHub Actions and GitOps (Argo CD / Flux), with automated build, test, and dependency gating
Security & Access: SAST/DAST scanning, secrets management, and least-privilege IAM (IRSA), plus routine dependency and vulnerability remediation
Observability: Own metrics, logs, and traces across Datadog, and Sentry
Data & Messaging: Operate PostgreSQL, MongoDB / Atlas, OpenSearch / Elasticsearch, and Temporal
Languages & Tooling: Build automation and internal tooling in Python, Bash, Go, and Node.js / TypeScript; containerize with Docker

What You Bring

Cloud & Kubernetes: 5+ years running AWS and Kubernetes in production (EKS preferred), including platform add-ons and AWS-native integration
IaC & GitOps: 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 as routine work
Observability: Metrics, logs, and traces with Datadog, Sentry, or equivalents
Programming: Node.js / TypeScript and Python, plus Bash scripting on Linux
Data Systems: PostgreSQL and MongoDB; messaging/workflows with Temporal
Version Control & Collaboration: Git / GitHub workflows and a documentation-first, async communication style
Networking Fundamentals: TCP/IP, DNS, routing, load balancing

Platform Engineer