Software Engineer, Google Health, Nutrition
Summary
Backend software engineer on Google Health's Nutrition team, designing and maintaining scalable backend services, APIs, and data infrastructure that power nutrition, wellbeing, and AI-driven health features. Work centers on distributed systems, data pipelines, and AI-assisted development in a cross-functional team.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
- Design, implement, and maintain scalable backend services, APIs, and data infrastructure powering core nutrition and wellbeing features.
- Build and support the data systems and deployment/testing infrastructure that connect data pipelines with AI-powered health and coaching features.
- Partner with engineers, product managers, UX designers, clinical specialists, and Technical Program Managers (TPMs) to turn product requirements into technical designs and user-friendly features.
- Leverage modern AI-assisted developer tools to accelerate coding, debugging, test generation, and code understanding, applying strong engineering excellence and a human-in-the-loop mindset to ensure software reliability and security.
- Write clean, maintainable, and well-tested code, maintain unit and integration test suites, and monitor production systems to ensure high performance and availability.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience in designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
- Experience developing and designing APIs.
- Experience with computer science fundamentals (e.g., data structures, algorithms, software design).
Preferred qualifications:
- Experience developing nutrition, fitness, health technology, or wellness applications.
- Experience deploying, testing, and serving artificial intelligence capabilities and data services.
- Experience utilizing artificial intelligence development tools for test automation, debugging, and code synthesis.
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