Software Engineer III, Fitness Metrics in Google Health

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a backend Software Engineer on the Health Fitness Metrics team, you will build and scale the centralized domain architecture responsible for calculating and serving core fitness metrics. You will design robust data pipelines, ingest algorithms, and APIs that process cardiovascular and physical activity data with high fidelity. You will focus on cross-screen mathematical consistency, data reconciliation, and system performance to deliver reliable, actionable insights. This role is crucial for maintaining the backbone of Google Health's fitness experiences, ensuring total data integrity from backend storage to user-facing applications.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages such as Java, or 1 year of experience with an advanced degree.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
  
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
  

Responsibilities

• Partner closely with the Research and Algorithm teams to translate novel fitness and physiological models (e.g., for Cardio Load, Readiness, or Active Zone Minutes) into scalable, production-ready backend code. Validate implementation against research benchmarks.
• Design and build resilient, low-latency, and high-throughput data processing pipelines and APIs.
• Work closely with mobile engineers (iOS/Android), Research and Product partners to provide useful and exact metrics to our users. Assist in creating comprehensive testing strategies (integration, performance, and unit) to validate backend services.
• Analyze backend data streams (e.g., Time Series Service, Exercise summaries) to identify anomalies, potential discrepancies, or edge cases.
• Identify gaps or limitations in existing metrics pipelines and propose elegant, scalable solutions.