Senior Staff Software Engineer, API at Anthropic

Hybrid - San Francisco, CA, United States

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Anthropic, a public benefit corporation headquartered in San Francisco, is looking for a Senior Staff Software Engineer to lead the Claude Developer Platform team. The role will set the technical direction for the Claude API, partner across research, inference, platform, and infrastructure teams, mentor staff‑level engineers, and drive high‑impact technical outcomes. Candidates should have 12+ years of engineering experience, deep expertise in distributed systems and API architecture, and a proven track record shaping large‑scale API strategy.

Salary

USD 405,000 - 485,000

Requirements

Skills

  • 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level
  • Demonstrated experience shaping technical strategy for large-scale API or distributed systems platforms
  • Leadership through influence, quality of thinking, and trust without formal authority
  • Deep expertise in distributed systems and API architecture, with strong design documentation, architectural decision-making, and critical path coding
  • Effective cross‑org collaboration with research, inference, infrastructure, safeguards, and business stakeholders
  • Strong product instincts and a craftsperson's approach to API design with clear communication to technical and non‑technical audiences

Responsibilities

  • Define and drive multi‑year technical strategy for the Claude API across all API Engineering teams
  • Identify and personally lead the highest‑complexity, highest‑impact engineering initiatives spanning multiple teams
  • Serve as the primary technical decision‑maker for major architectural decisions with org‑wide scope
  • Partner with Research, Inference, Platform, Infrastructure, and Safeguards to ensure reliability, security, and responsible deployment
  • Mentor and develop Staff‑level engineers across the organization
  • Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks

Technologies

PythonGolangRustGCPAWSAzureKubernetesPostgreSQLAlloyDBVector StoresFirestoreSpannerFeature FlaggingPrometheusGrafanaDatadogClaude Code

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