Staff+ Software Engineer, Safeguards Data

The shape of it

In the posting’s own words

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.

What it asks for · 4

• 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

Also a plus

• 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

What the job covers

• 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

Tools and skills named

Words the posting leans on

• data12×
• systems9×
• experience8×
• build5×
• control4×
• detection4×
• safety4×
• experience building3×
• pipelines3×
• safeguards3×
• access2×
• cloud providers2×
• correctness2×
• customer-managed2×
• customers2×
• data governance2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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