GCP DevOps Engineer
Own the Google Cloud footprint behind our agentic systems and client platforms, defined entirely in code.
- GCP
- Terraform
- Kubernetes
- Cloud Run
- Pub/Sub
- BigQuery
A large share of our workload runs on Google Cloud: Cloud Run for stateless services, GKE where we need orchestration, Pub/Sub as the spine between agents, and BigQuery underneath the analytics. This role owns that footprint.
We define infrastructure in code and treat clicking through a console as a bug. If you have inherited a project where nobody could say what was actually deployed, you know exactly why.
Own the platform
- Design and maintain GCP infrastructure in Terraform: projects, IAM, networking, Cloud Run, GKE, Pub/Sub, Cloud SQL, and BigQuery
- Build deployment pipelines that are reproducible and reversible, with real rollback rather than a hope and a redeploy
- Enforce least privilege across service accounts and workload identity, and keep secrets in Secret Manager instead of environment files
Make it observable
- Instrument the platform with Cloud Monitoring, logging, and tracing so an incident starts with data rather than guesswork
- Define SLOs that reflect what clients actually care about, and alerts that fire on those rather than on CPU
- Run cost analysis and right size the footprint. Cloud spend is a product decision and you will be in it
Support the engineers
- Give application teams paved paths: templates, modules, and CI that make the correct deployment the easy one
- Lead incident response and write postmortems that produce fixes instead of blame
- Handle multi environment and multi tenant client setups where isolation is a contractual requirement
Required
- Four or more years running production infrastructure on Google Cloud
- Strong Terraform. You write modules other people use and you understand state management
- Kubernetes in production: workloads, networking, autoscaling, and debugging a cluster that is misbehaving
- Scripting depth in Python, Go, or Bash, and comfort in CI systems such as GitHub Actions or Cloud Build
Helpful, not required
- Multi cloud experience, particularly AWS alongside GCP
- Experience serving GPU or inference workloads on GKE or Cloud Run
- Background in data platform work: Dataflow, BigQuery modeling, or streaming pipelines
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Show us something you built.
Send a resume or profile with a short note about work you have shipped. Links to code, systems, or launched projects tell us more than a cover letter ever will.
careers@contracollective.com