Staff Software Engineer, Environments Infrastructure

The shape of it

In the posting’s own words

You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification.

What it asks for · 6

• Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code
• Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built
• Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retires, idempotency, and consistency
• A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct
• Experience working productively in large, evolving, or research-style codebases that you didn't originally write
• Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome

Also a plus

• Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines
• Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes
• Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable
• Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
• Experience with large-scale data processing, dataset lifecycle management, or data lineage systems
• Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization
• Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead

What the job covers

• Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally
• Own the platform layers that sit beneath every environment, including the agent runtime
• Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop
• Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off
• Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues
• Drive adoption of new frameworks across the organization, including deprecations and cutovers
• Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them

Tools and skills named

Words the posting leans on

• experience20×
• systems17×
• frameworks16×
• design12×
• build11×
• research9×
• engineers8×
• infrastructure8×
• code7×
• lets7×
• experience building6×
• failure6×
• platform6×
• researchers6×
• sandboxed6×
• structurally6×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

More open at Anthropic

• Account Executive, AI NativeNew York City, NY; San Francisco, CA | New York City, NY
• Account Executive - DNBSingapore
• Account Executive - Public Sector (ASEAN)Singapore
• Account Executive, StartupsSan Francisco, CA | New York City, NY
• Accounting, Revenue Internal ControlsSan Francisco, CA | Seattle, WA
• AI Engineer, GTM ClaudificationRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA