# Staff Software Engineer, Infrastructure (Distributed Systems)

**Company**: Anthropic
**Location**: London
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: £325,000-£390,000 GBP
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5387083008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7c15ff57-71b

## Description

Anthropic's Infrastructure organization builds and operates distributed systems that train, serve, and secure AI models. As a Staff Software Engineer on the Infrastructure team, you'll scope and lead complex infrastructure projects, make architectural decisions, and work with research and product teams to build adaptable systems.

**Key Responsibilities:**

- Lead complex, multi-month infrastructure projects from start to production

- Make architectural decisions shaping the foundation for other engineers and teams

- Drive alignment on technical direction across teams

- Partner with research and product teams to understand their infrastructure needs

- Own the reliability, scalability, and security of the systems you build

- Set technical strategy and standards for your team's infrastructure

- Improve operational processes like incident response and postmortems

- Mentor other engineers to raise the technical bar for the team

**Minimum Qualifications:**

- Experience designing, building, and operating large-scale distributed systems

- History of independently scoping and delivering complex technical projects

- Experience making architectural decisions for other engineers and teams

- Strong software engineering fundamentals and proficiency in at least one programming language

- Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code

- Strong written and verbal communication skills

**Preferred Qualifications:**

- 10+ years of software engineering experience

- Experience with machine learning infrastructure like GPUs, TPUs, or Trainium

- Low-level systems experience, such as Linux kernel tuning or eBPF

- Background in security or privacy engineering best practices

- Prior experience as a technical lead or mentor for other engineers

The annual compensation range for this role is £325,000-£390,000 GBP.

## Skills

### Required
- distributed systems
- Kubernetes
- infrastructure-as-code
- Python
- Rust
- Go
- Java
- cloud infrastructure

### Nice to have
- machine learning infrastructure
- GPUs
- TPUs
- Trainium
- Linux kernel tuning
- eBPF
- security engineering

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5387083008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)