Senior/Staff Platform Engineer
Quick Summary
Prioritizing collective intelligence 🚀 Fearless Innovators: Turning obstacles into growth opportunities 💪
you've gone beyond running workloads to understanding and configuring the control plane, writing operators or controllers, tuning schedulers,
CodeRabbit is the leading AI code review platform, trusted by more than 17,000 customers and 150,000 open-source projects, conducting over 2 million code reviews each week. We build the symbiotic partnership between developers and AI that makes shipping fast software safe again, reviewing every pull request, IDE change, and CLI commit so teams can move quickly without breaking things.
We are a fast-moving, well-funded company, fresh off a $143M Series C at a $1.5B valuation — building Agentic Change Management, the control layer for software changes created by humans and agents. As AI writes more of the world's code, the bottleneck moves from implementation to judgment and helping human judgment scale is exactly the problem we exist to solve.
About the Role
~1 min readCodeRabbit is hiring its founding Platform Engineer. You'll 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 and a product suite that's still growing. This is a 0-to-1 role: you'll build the platform function from the ground up, set the technical direction, establish the patterns everyone else builds on, and make the early architectural calls that are expensive to unwind later. This role carries the same ownership and pace as the rest of CodeRabbit engineering, applied with the rigor that foundational infrastructure demands. The systems you build here need to be right, not just fast — everything else depends on them.
Requirements
~1 min read7+ 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
What We Offer
~1 min read🤝 Collaborative Humans: Prioritizing collective intelligence
🚀 Fearless Innovators: Turning obstacles into growth opportunities
💪 Persistent, Passionate Developers: Thriving on complex, long-term challenges
🎯 Impact-Driven Creators: Crafting intuitive tools for developers
🧠 Rapid Learners and Un-learners: Adapting quickly in our fast-paced technological world
Location & Eligibility
Listing Details
- Posted
- July 17, 2026
- First seen
- July 17, 2026
- Last seen
- August 15, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 54%
- Scored at
- July 17, 2026
Signal breakdown
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