Software Engineer (Infrastructure)

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.

Responsibilities (in order of how much time you’ll likely spend on each)

• 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.

Qualifications

• 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)

You might like this role if:

• You want to work on a product that thousands of developers rely on

• The chaos of high growth and things breaking is exciting to you

• You like being in an office every day around other smart people who are excited about what they’re building

• You like tinkering with Docker Containers, Virtual Machines, Compute Clusters.

• You enjoy playing with Linux systems and reading blogs like this one: https://www.brendangregg.com/linuxperf.html

• You specifically prefer working in-person over working remote