Software Engineer (Infrastructure)
Greptile is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of the codebase. Hundreds of top software companies use Greptile to merge PRs faster and prevent bugs.
A new repo starts using Greptile every 2 minutes. Across customers, Greptile reviews nearly 200 lines of code per second on average, but peak usage can be several times higher. Our daily LLM inference usage is in the billions of tokens. This doesn't even include the many enterprises across defense, financial services, and healthcare that self-host Greptile in air-gapped environments, an option that Greptile uniquely provides.
To make this even more complicated, our usage is growing nearly 50% every month. :)
If you're interested in working on helping scale a fast-growing AI developer product, this role is for you!
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 or DevOps engineering experience
Strong background in computer networking
Experience with Docker, Kubernetes, Terraform, and cloud providers like AWS
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:
You specifically prefer working in-person over working remote
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