Cloud Infrastructure Engineer
Salary Range
Up to $250k
Locations
- New York
About the Role
As an early engineer, you’ll work on building our cloud product from the ground up.
The core responsibility of this role is designing and building a safe playground for AI agents to write and test code. You’ll solve problems like:
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How can we discover the dependencies and requirements for running unit tests on a repository, even if there’s no configuration written?
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How do we efficiently fork a running cloud instance to try two alternative migration strategies in parallel?
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How can we build a caching file system to make it faster to check out repositories on new machines, without keeping permanent copies of customer code?
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How do we stream results back to customers with minimal latency to allow live monitoring and intervention?
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Build a meaningful product to solve a tangible problem for companies.
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Ownership in all senses of the word: significant equity upside, direct impact on product vision, and contact with users.
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Solve your own problems. We dogfood our own product and you can build the ideal developer experience as you work.
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Explore frontiers in programming languages and machine learning.
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We have a long runway and can offer a competitive base salary (up to $250k).
Responsibilities
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Design our cloud execution environment for running customer source code, weighing options like Kubernetes, Nomad, and custom solutions
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Develop distributed systems in Rust, Go, and TypeScript
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Set up end-to-end observability and distributed tracing for our fleet of instances.
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Manage infrastructure in Google Cloud using Terraform
Requirements
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5+ years experience as a software developer or SRE, with experience working on distributed systems
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Execution-driven mindset: you love shipping.
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Previous experience building internal engineering tools or developer products is a plus.
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Comfortable working in low-structure environments and navigating unknown unknowns.
About the Company
Grit is on a mission to crush technical debt.
We believe that a big challenge in the next decade will be crumbling digital infrastructure. Our entire modern economy runs on code, but we haven’t developed appropriate tools to ensure software remains reliable over time.
Companies know that technical debt threatens the reliability of their services and slows down the pace of innovation, but struggle to find enough engineering talent to fix issues—most software maintenance today is still done manually and delayed as long as possible.
We believe there is a better way: we’re building Grit, a query language for automatically maintaining software. Underneath, we use advanced parsing, static analysis, and machine learning to automatically generate pull requests.
Founders Fund and Abstract Ventures led our seed round and we have many paying customers on our beta product. Our team is currently 5 engineers.
How to Apply
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