Staff+ Software Engineer (GRC Platform)

Join Anthropic, a leading AI safety and research company, as a Staff+ Software Engineer. In this role, you will build the platform behind governance, risk, and compliance (GRC) at Anthropic. You will design and build data pipelines, maintain integrations, translate policies into code, and develop dashboards for real-time visibility into risk and compliance posture. You will collaborate with various stakeholders and take full ownership of your work from design to deployment and operations.

• Design and build data pipelines that aggregate risk, control, and asset information from across Anthropic's technology stack.
• Build and maintain integrations connecting our platform to cloud infrastructure, identity management, HRIS, ticketing, version control, and CI/CD systems.
• Translate written policies and regulatory requirements into policy-as-code, turning static documents and spreadsheets into enforceable rules, automated checks, and continuous monitoring.
• Take a product-focused approach to platform work and care about building tools internal customers love to use
• Hold a high bar for data quality and reliability, and enjoy turning ambiguous, manual processes into simple, reliable automated systems
• Take full ownership of your work, from design through deployment and operations, and can navigate ambiguity and make sound technical decisions independently
• 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 excited to build with LLMs as system components, designing agentic workflows, evaluating their outputs, and making them reliable enough for high-stakes use
• Have depth in either integration engineering (REST APIs, webhooks, authentication flows, event-driven architectures) or data infrastructure (warehousing, ELT/ETL, orchestration), and fluency in the other
• 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
• Are proficient in Python, Go, or similar languages, and have production experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code
• Experience in domains where engineering meets regulation, such as privacy engineering, data governance, fintech, healthcare, or trust and safety
• Experience designing and shipping LLM-based or agentic automation in production or operational contexts
• Familiarity with compliance frameworks (SOC 2, ISO 27001, HIPAA, FedRAMP) or GRC platforms (ServiceNow, Vanta, Drata, OneTrust); this is helpful but not required
• Prior experience at high-growth startups, building processes and systems that scale
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed