CodeRabbit

Senior/Staff Platform Engineer

Rol remoto de Engineering con fit claro de ubicación del candidato.

Publicado17 jul 2026

Países elegibles2 países aceptados

Señal de seniorityLead

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

CanadáEstados Unidos

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

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

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

CodeRabbit is building the next generation of AI-native developer tooling; starting with code review. We combine large language models with deep software engineering context to help teams ship faster, catch more bugs, and make better architectural decisions at scale.
We have a high-ownership engineering culture. That means no passive execution, no waiting for perfect tickets, and no narrowly defined task boundaries. Engineers here find problems before they're assigned, use AI as a core part of how they build, ship with judgment, and own outcomes from proposal to production.
Our operating philosophy: bias toward action, ship the smallest necessary coherent slice, validate proportional to risk, watch what happens, and make the system better. AI drafts; humans decide. Speed matters, but so does understanding what you ship.
This opportunity will be energizing for people who want real ownership, pace, and high standards. It's uncomfortable for people who prefer slow consensus or heavily managed workflows.
If you want to build tools that are changing how software gets written, and be held to the standard that the best engineers thrive under; we'd love to talk.

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