sensitive-data-handling jobs in San Diego

Design and build on-device security systems for Snap's Specs wearable devices, including permissions, access control, sandboxing, and trusted execution boundaries. Develop security and privacy controls for on-device AI features, focusing on model integrity, sensitive data handling, and inference-time protections.…See more Research and implement security features across Snap OS, firmware, applications, and cloud-connected surfaces. Improve fuzzing infrastructure, automated security testing, and continuous validation pipelines for OS components, IPC mechanisms, and AI data flows.

Build and integrate oncology applications across laboratory systems, data pipelines, and enterprise platforms at Eli Lilly. Develop AI-enabled capabilities for data retrieval, extraction, and analysis while owning application reliability, user support, and lifecycle planning.…See more Deploy on Lilly cloud infrastructure using modern server-side frameworks (Python/Django/Flask preferred), front-end technologies (JavaScript/TypeScript), relational databases, and CI/CD pipelines. Mentor junior engineers and collaborate directly with scientific and operational stakeholders.

Software Engineer at Eli Lilly developing oncology applications that integrate laboratory systems, data pipelines, and enterprise platforms. The role requires 5+ years of software engineering experience and involves building AI-enabled capabilities, designing scalable APIs and web applications, deploying to AWS cloud infrastructure, and owning application reliability and lifecycle.…See more Key responsibilities include implementing data quality standards, contributing to CI/CD and containerization practices, mentoring junior engineers, and working directly with scientific and operational stakeholders.