Staff+ Software Engineer, Safeguards Data

Anthropic•San Francisco, NY

12h•Hybrid

About The Position

About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and support user well-being. This role focuses on the data foundations that make that work possible: the pipelines, stores, and governance controls that our detection, evaluation, and review systems are built on, deployed across AWS, GCP, and Azure. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. The systems you build sit underneath decisions with real consequences for customers and for people affected by model misuse, and much of the data moving through them is sensitive. Correctness, retention discipline, and access control are core engineering requirements here rather than things bolted on afterward. You will also design for portability from the outset, because these systems run in customer-managed and third-party environments you do not fully control.

Requirements

Proficiency in Python and SQL
Experience building and operating data pipelines or data stores in production
Ability to work across the data stack, including ingestion, storage, and consumption
Strong written and verbal communication skills, including the ability to explain technical tradeoffs to people outside your discipline

Nice To Haves

Extensive experience as a software engineer, including significant time on data-intensive systems
Experience with integrity, spam, fraud, or abuse detection and mitigation
Experience building trust and safety detection and intervention mechanisms for AI or machine learning systems
Experience building and operating large-scale distributed data infrastructure
Experience working across multiple cloud providers, or building infrastructure designed to be provider-agnostic
Experience meeting data governance requirements in a regulated or high-sensitivity domain
Experience working closely with operational teams to build custom internal tooling

Responsibilities

Build and operate the data platform that powers Safeguards, including ingestion and processing pipelines, warehouses and other data stores, and the schemas and interfaces that detection and review systems depend on
Keep Safeguards systems running day to day and hold a high operational bar that serves both safety and customers, while reducing the manual effort needed to sustain it
Own data governance and integrity, including retention and access controls, privacy-preserving handling of sensitive data, lineage, and correctness guarantees that downstream consumers can rely on
Design systems that run portably across cloud providers, working within the constraints of customer-managed and third-party environments
Partner with the analysts, investigators, and researchers who rely on this data, and build the internal tooling their work depends on