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Anthropic Posted 30+ days ago

Staff+ Software Engineer, GRC Platform

Location

San Francisco

Contract

Permanent

Full-time

Salary

$320–405k

Gross per year

Experience

8+ years

Lead level

Job summary

Responsibilities

We're seeking an experienced software engineer to build the platform behind governance, risk, and compliance (GRC) at Anthropic. Compliance information lives across dozens of systems, from cloud infrastructure and identity providers to HR platforms and code repositories.

  • Design and build data pipelines that aggregate risk, control, and asset information from across Anthropic's technology stack, solving hard integration problems like disparate…
  • Build and maintain integrations connecting our platform to cloud infrastructure, identity management, HRIS, ticketing, version control, and CI/CD systems to enable automated…
  • Translate written policies and regulatory requirements into policy-as-code, turning static documents and spreadsheets into enforceable rules, automated checks, and continuous…
  • Design and deploy agentic workflows where Claude handles work that previously required manual effort, such as analyzing evidence, generating audit responses, and monitoring…
  • Develop dashboards and reporting that provide real-time visibility into risk and compliance posture for audiences ranging from engineers to executives and external auditors

What they're looking for

  • Have 8+ years of experience building backend systems, data pipelines, or internal platforms that other teams depend on, ideally operating at tech lead level
  • Are a systems thinker who understands how data flows between systems, where the integration points are, and what breaks when systems don't talk to each other
  • Have depth in either integration engineering (REST APIs, webhooks, authentication flows, event-driven architectures) or data infrastructure (warehousing, ELT/ETL, orchestration)…
  • Are proficient in Python, Go, or similar languages, and have production experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code
  • Hold a high bar for data quality and reliability, and enjoy turning ambiguous, manual processes into simple, reliable automated systems

Tech stack

Read the full job posting

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