# Staff + Sr. Software Engineer, Cloud Inference Launch Engineering

Hiring organization: [Menlo Ventures Portfolio](https://career.thegoodapps.co/organizations/menlo-ventures-portfolio)

Canonical page: https://career.thegoodapps.co/jobs/04420008-507b-4189-a956-71d2aaaf7dd0

Listed on Menlo Ventures Portfolio's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: San Francisco, CA
- Salary: 320000 – 485000 USD per year

## Summary

This role builds and validates the infrastructure that runs Claude across multiple cloud platforms, ensuring models launch reliably and perform consistently everywhere. It suits senior engineers experienced in large-scale distributed systems who want to work on high-leverage infrastructure that directly gates how fast frontier AI ships to production.

_Our summary, not Menlo Ventures Portfolio's wording._

## Skills named

Amazon Web Services (AWS), Infrastructure as Code, Kubernetes, Microsoft Azure, Python, Rust

## Required

- Strong background in high-performance, large-scale distributed systems at scale
- Significant software engineering experience
- Track record building automation or test infrastructure that improved release velocity or reliability
- Experience building or operating services on AWS, GCP, or Azure with exposure to Kubernetes or container orchestration
- Fast learner who can ramp on new technologies and hardware platforms quickly
- Autonomous ownership of end-to-end problems

## Nice to have

- LLM inference optimization, batching, and caching strategies
- Capacity-constrained scheduling or shared-resource test infrastructure
- Understanding of multi-region deployments, request routing, and load balancing
- Experience working with cloud service provider partner teams
- Proficiency in Python or Rust

Apply on Menlo Ventures Portfolio's site: https://job-boards.greenhouse.io/anthropic/jobs/5238296008