Anthropic

1 month ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Staff-level backend/developer infrastructure engineer owning the end-to-end development environment for Claude. You’ll speed up container boot, design isolation boundaries for safe local experimentation, build pre-push validation, and shape repository topology while collaborating across platform and tooling teams to enable a fast inner loop for engineers at Anthropic.

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

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.

Pay and Benefits

Salary: USD 405,000 - 485,000 annually

Key Requirements

•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.

Experience:AISoftware developmentDev tooling

Education:Bachelor's

Skills:CommunicationCollaborationLeadership

Languages:English

Tech Stack:PythonDockerKubernetesBazelBuckNixGoRust

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Anthropic

1 month ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

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.

Pay and Benefits

Salary: USD 405,000 - 485,000 annually

Key Requirements

•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.

Experience:AISoftware developmentDev tooling

Education:Bachelor's

Skills:CommunicationCollaborationLeadership

Languages:English

Tech Stack:PythonDockerKubernetesBazelBuckNixGoRust

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn