Staff+ Software Engineer, Safeguards Data
Build and operate the data foundations behind AI safeguards, including production pipelines, data stores, governance controls, and internal tooling. The role requires strong Python and SQL skills, production data-platform experience, and expertise in reliable, privacy-conscious systems across multiple cloud environments.
About the job
Responsibilities
- Build and operate the Safeguards data platform, including ingestion and processing pipelines, warehouses and other data stores, and the schemas and interfaces used by detection and review systems.
- Keep Safeguards systems running day to day and maintain a high operational bar for safety and customers while reducing manual effort.
- Own data governance and integrity, including retention and access controls, privacy-preserving handling of sensitive data, lineage, and correctness guarantees.
- Design systems that run portably across cloud providers and within customer-managed and third-party environments.
- Partner with analysts, investigators, and researchers to build the internal tooling they depend on.
Minimum Qualifications
- 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.
Preferred Qualifications
- Extensive software engineering experience, including significant work 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 provider-agnostic infrastructure.
- Experience meeting data governance requirements in a regulated or high-sensitivity domain.
- Experience working closely with operational teams to build custom internal tooling.
Compensation and Benefits
- Annual salary: $320,000–$485,000 USD.
- Minimum education: bachelor’s degree or an equivalent combination of education, training, and/or experience.
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Office collaboration space.
- Visa sponsorship may be available for eligible roles and candidates.
Skills
Python, SQL, Data Pipelines, Data Stores, Data Warehousing, Data Governance, Access Control, Data Lineage, Distributed Systems, AWS, GCP, Microsoft Azure, Fraud Detection, Abuse Detection, Internal Tooling
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