Drimva

Anthropic

Staff+ Software Engineer, Backend

$405K–$485K

San Francisco, CA +2 · Staff · Full-time · Posted Apr 8, 2026

Location
San Francisco, CA
New York City, NY
San Francisco, California, United States
Experience
8+ years of relevant experience; logistics also states that required years correlate with internal job level requirements.
Education
Bachelor’s degree or an equivalent combination of education, training, and/or experience; field relevant to the role, demonstrated through coursework, training, or professional experience.
Visa sponsorship
Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides immigration-lawyer support.

About the job

Own and deliver large-scale backend systems and APIs powering Anthropic products, leading complex projects and translating model capabilities into reliable, scalable products.

What you'll do

  • Lead the design and delivery of production backend systems, making architectural decisions for reliability and scalability.
  • Scope and lead complex projects, aligning product, engineering, research, and other stakeholders.
  • Build backend infrastructure and APIs across areas such as serving, developer tools, agent systems, identity, and enterprise features.

What they ask for

  • 8+ years of relevant backend or product engineering experience, with a record of leading complex projects or teams as a tech lead or equivalent.
  • Strong coding fundamentals across backend systems, APIs, and integrations; able to work on frontend when needed.
  • Experience designing and delivering large-scale production backend systems for high-adoption B2B or consumer products.
  • Experience with distributed systems, API design, and cloud infrastructure at scale.

Pay

$405,000 — $485,000 USD annual base salary

Tools

Claude API, Claude Code, Claude.ai

AI focus

Build products and infrastructure that bring Claude and frontier model capabilities to users and developers, including retrieval, agent capabilities, and safe deployment.

Model-written summary · the original posting is authoritative

First seen Oct 31, 2026 · Last verified Nov 5, 2026 (UTC)