Job Details

Software Engineer (Infrastructure) ($190K $250K + Equity) at Greptile

  2026-05-31     Jack and Jill AI     all cities,CA  
Description:

Software Engineer (Infrastructure)

Salary: $190K $250K + Equity

Company Description: Greptile - Benchmark-backed AI developer platform

Job Description: You will own the infrastructure domain for a high-growth startup reviewing 1B lines of code monthly. You'll scale Kubernetes clusters, build sandboxed execution environments, and operationalize on-premise deployments for enterprise giants like Nvidia and Coinbase. This role offers deep technical ownership within a talent-dense team of former Stripe and Google engineers.

Location: San Francisco, USA

Why this role is remarkable:

  • Massive scale and traction with over 7,000 customers and nearly 1 billion lines of code reviewed monthly by their autonomous AI agents.
  • Tier-1 backing with $30M raised from Benchmark, Y Combinator, and Paul Graham, providing significant stability and growth runway.
  • High-velocity "offense/defense" engineering culture where you own critical systems end-to-end alongside world-class talent from Stripe, Google, and Figma.

What you will do:

  • Design and scale robust Kubernetes and Docker infrastructure to support rapidly expanding global usage and compute-heavy AI workloads.
  • Lead technical deployments for large enterprise customers, transitioning manual on-premise setups into fully operationalized, scalable delivery processes.
  • Build and maintain secure, isolated execution environments and sandboxed compute clusters for running autonomous AI-generated code tests.

The ideal candidate:

  • Extensive experience (5+ years preferred) with container runtimes, Kubernetes, Helm, Terraform, and managing complex Linux VM environments.
  • Proven track record of operating infrastructure at high-growth compute or cloud companies such as AWS, Modal, Vercel, or Supabase.
  • Strong background in computer networking and a passion for low-level systems performance, tinkering with hypervisors and compute clusters.


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