# Senior/Staff Platform Engineer

**Company:** [CodeRabbit](https://hotfix.jobs/companies/coderabbit)
**Location:** San Francisco, CA
**Role:** DevOps / SRE
**Salary:** $220k – $280k/yr
**Experience:** 7+ years
**Skills:** Kubernetes, Terraform, GCP, Docker, Go, TypeScript, Node.js, Prometheus, Grafana, Datadog, Linux, ebpf
**Posted:** 2026-07-17

> Founding Platform Engineer owning compute, orchestration, and infrastructure for CodeRabbit's GenAI code review platform on multi-region GCP. Build from 0-to-1 with deep Kubernetes, distributed systems, and cloud infrastructure expertise.

## Job Description

## Required Qualifications
- 7+ years in Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering with a strong bias toward building platforms, not just operating them
- Deep, hands-on experience with Kubernetes: you've gone beyond running workloads to understanding and configuring the control plane, writing operators or controllers, tuning schedulers, and debugging at the runtime level; bonus if you've contributed to Kubernetes or built on its internals
- Experience building and running large-scale distributed systems. You understand the trade-offs between consistency and availability, have debugged distributed failures in production, and have designed systems around them
- Strong cloud compute background on GCP or AWS. You've built infrastructure, not just consumed managed services; you understand how compute, networking, and storage primitives work at the layer below the console
- Proficiency in Docker and container runtime internals: image layering, networking modes, security contexts, and build optimization

## Technical Skills
- **Container & Orchestration**: CRDs, operators, admission webhooks, RBAC, network policies, autoscaling; strong Docker/OCI toolchain knowledge
- **Distributed Systems**: queuing, eventual consistency, backpressure, graceful degradation
- **Infrastructure as Code**: Advanced Terraform — module design, state management, programmatic provisioning patterns
- **Cloud Platforms**: GCP (GKE, Cloud Run, VPC, IAM, Cloud SQL, Cloud Storage, Load Balancing) — how these work under the hood, not just how to configure them
- **Programming**: Node.js/TypeScript or Go for platform tooling, operators, and automation
- **Observability**: Datadog, Prometheus/Grafana or equivalent — custom instrumentation, distributed tracing, SLO-based alerting
- **Systems**: Linux internals, networking fundamentals (TCP/IP, DNS, load balancing, eBPF), storage systems

## Responsibilities
- Own the compute, orchestration, and infrastructure layer that CodeRabbit's AI engine and every product on top of it run on, across a multi-region GCP footprint
- Build the platform function from the ground up (0-to-1 role)
- Set the technical direction, establish the patterns everyone else builds on, and make the early architectural calls
- Build systems that need to be right, not just fast — everything else depends on them
- High-ownership engineering culture: find problems before they're assigned, use AI as a core part of how you build, ship with judgment, and own outcomes from proposal to production

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**Apply:** https://hotfix.jobs/jobs/173d8d09-9dd8-46ad-8e1e-ee52aaf8a0c6
**Canonical:** https://hotfix.jobs/jobs/173d8d09-9dd8-46ad-8e1e-ee52aaf8a0c6