Software Engineer (Infrastructure)
About The Position
We want to build agents that autonomously validate code changes. Today that looks like AI that reviews pull requests in GitHub, catching bugs and enforcing standards. We’re reviewing close to 1B lines of code a month now for over 3,000 companies. Problems we’re excited about Coding standards can be idiosyncratic and are often poorly documented; can we build agents that learn them through osmosis like a new hire might? Can we identify for each customer what types of PR feedback they do and don’t care about, perhaps using some sample efficient RL, in order to increase signal-to-noise ratio? Some bugs are best caught by running the code, potentially against discerning AI-generated E2E tests. Can we autonomously deploy feature branches and use agents to parallel try to break the application to detect bugs? Trajectory 7,000+ customers Raised $30M from Benchmark, YC, Paul Graham, Initialized Team We have assembled a small, talent dense team who have scaled critical functions at companies like Stripe, Google, Figma, etc.
Requirements
- B.S. Computer Science or equivalent degree, undergraduate or higher
- 1+ years of software, infrastructure or cloud engineering
- Strong background in computer networking
- Experience with container runtimes, linux VMs, hypervisors, docker, kubernetes (k8), terraform, and cloud providers like AWS
- Experience building sandboxed or isolated execution environments
- Ability to work closely with customers (patience, friendliness)
Responsibilities
- Design and implement robust infrastructure to help Greptile keep up with growing usage
- Work with our largest enterprise customers to help deploy Greptile into their environments
- Operationalize the on-premise deployment process so we can serve smaller customers without needing much hands-on work.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
