Devops Engineer

The Role

We're looking for a DevOps Engineer to join a fast-moving, AI-native engineering team.

This is not a traditional ops role.

A large share of our code is written and shipped by AI agents. The platform underneath them has to keep up.

You'll be expected to help our dev teams ship, debug, and monitor fast, using AI wherever it fits.

This is a ground-floor seat on a startup with serious growth ambitions.

If you want to build the platform that lets a team of humans and agents ship at machine speed, this is your role

What you'll do

Run CI/CD end to end: GitHub Actions, Bazel builds, and Argo CD deploys. Make them faster, greener, and safe for agents to trigger unattended

Build and maintain the infrastructure as code behind the platform on GCP with Terragrunt and OpenTofu: GKE, VPC networking, IAM, Secret Manager, Cloud SQL

Run the data platform: Cloud Composer (Airflow), dbt, and the BigQuery layer the business reports on. Keep pipelines on schedule, cheap, and trustworthy

Keep production observable: Datadog and Grafana, alerts people trust, error tracking that points at the real fault

Put AI to work on ops: extend the agent-driven alert triage, wire Claude Code into pipelines, automate the toil you'd otherwise do by hand

Work with backend and data engineers to make services and pipelines resilient, observable, and easy to deploy

Requirements

Minimum 4 years of hands-on DevOps/SRE experience

Kubernetes in production: you've deployed it, upgraded it, and debugged networking on it

GCP: GKE, Cloud SQL, BigQuery, Secret Manager, IAM, VPC networking

Infrastructure as code with Terragrunt and OpenTofu (Terraform experience counts)

CI/CD depth: good knowledge of GitHub Actions, and GitOps on Kubernetes with Argo CD, Flux, or equivalent