Staff Software Engineer, Developer Productivity (Dev Environments) - Claude Code

Job Application for Staff Software Engineer, Developer Productivity (Dev Environments) - Claude Code at Anthropic

Back to jobs New Staff Software Engineer, Developer Productivity (Dev Environments) - Claude Code San Francisco, CA | New York City, NY

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Every minute an Anthropic engineer or researcher spends waiting on a container to boot, a dependency to resolve, or CI to surface a failure that could have been caught locally is a minute not spent on frontier AI safety. The Developer Productivity team owns the inner development loop for the people building Claude — and increasingly, for Claude itself as an engineering collaborator.

We're looking for a Staff Software Engineer to own our development environment end to end. You'll make spinning up a fresh environment fast, design the isolation boundary that keeps local experimentation safely separated from shared research and production infrastructure, and build the pre-push validation layer that catches problems before they ever reach CI. You'll also help shape how our repository and platform topology evolves as the company scales, partnering closely with the infrastructure teams who own the substrate you build on.

This team works the way it expects the rest of Anthropic to work: with Claude in the loop. Agentic coding is both how we operate day to day and a core part of what these environments need to support, so we're looking for someone who already builds this way and has informed opinions about where the leverage actually is.

Key responsibilities

Own the local and hosted development environment end to end — container lifecycle, dependency provisioning, hot reload, and the single command an engineer runs to start working

Drive down cold-start time for fresh development environments and keep it low as the codebase grows

Design and implement the environment isolation model (sandboxes, ephemeral environments, namespace separation) that lets engineers experiment freely without risk to shared systems

Build and maintain the pre-push validation surface so failures are caught on the engineer's machine, not in CI

Partner with platform, delivery infrastructure, and tooling teams to shape the repository and service topology that best supports a fast inner loop

Act as a technical lead across team boundaries — gathering requirements, building consensus, and advocating for the approach that's right for engineers across Anthropic

Minimum qualifications

Significant professional software engineering experience in backend or developer infrastructure domains

Proficiency in Python

Hands-on experience with containers (Docker or equivalent), Kubernetes, and pod-level operations

Prior ownership of a developer environment, build system, or paved-path workflow used by a multi-team engineering organization, with demonstrable adoption

Experience working across team boundaries to deliver infrastructure that other engineers depend on

Daily, hands-on use of AI coding assistants as part of your own development workflow

Preferred qualifications

7+ years of backend or developer infrastructure engineering experience

Experience with Rust or Go

A track record of reducing cold-start or boot time on a complex multi-service stack to under a minute, with before/after measurements

Prior design of environment isolation models such as ephemeral environments, sandboxes, or isolated namespaces

Experience leading (or making the case against) a monorepo extraction, repo split, or comparable scope-boundary migration from the developer-tooling side

Familiarity with Bazel, Buck, Nix, or similar hermetic build systems

Experience operating as a platform tech lead — broad context across the stack and a history of cross-team influence

Representative projects

Rebuilding the dev container image pipeline so a new engineer goes from git clone to a running environment in under 60 seconds

Designing an ephemeral environment system that gives every branch its own isolated copy of downstream services

Shipping a pre-push hook framework that runs the relevant subset of tests and lints locally, cutting CI failure rate for first-attempt pushes

Instrumenting the inner loop to produce a live dashboard of p50/p95 edit-build-test latency across the engineering org

Authoring the design doc and migration plan for how development environments should evolve alongside a major repository restructure

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $405,000 - $485,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a...