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

Anthropics 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.

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.

Were looking for a Staff Software Engineer to own our development environment end to end. Youll 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. Youll 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 were looking for someone who already builds this way and has informed opinions about where the leverage actually is.

• 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 engineers 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 thats right for engineers across Anthropic

• 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

• 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

• 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

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.