About the position
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device monitors key physiological metrics to provide personalized insights that improve fitness, health, and recovery. As a Software Engineer II (Backend) on Fitness, you will develop features that empower members to optimize performance and longevity. Fitness helps members understand key metrics such as strength and aerobic capacity, VO2 Max, Steps, and Heart Rate Zones - it is the bridge connecting members to our powerful data science algorithms through beautiful visualizations. You will collaborate with product management, design, data science, performance science, and your fellow engineers to shape and develop the technical direction of these impactful health and performance features.
Responsibilities
- Work on a cross-functional team throughout feature ideation, planning, and development.
- Translate feature requirements into engineering tasks, identify risks and tradeoffs, and ship iteratively to mitigate risk.
- Contribute to development of backend services using Java, Kafka, Postgres and other AWS offerings.
- Participate in code reviews, testing, and documentation to ensure software quality.
- Continuously improve the reliability, performance, and scalability of systems requiring high availability and stability.
Requirements
- You build and maintain APIs and are comfortable working with relational databases like Postgres.
- RESTful services are familiar territory for you.
- You have worked with or on event-driven or asynchronous systems like Kafka or SQS, or you're curious and ready to learn more.
- You write code that holds up over time with solid test coverage, clear documentation and an eye toward making it easy for others to understand.
- You're energized by significant challenges and take a data-informed, iterative approach to solving them.
- You are a team player who thrives on continuous learning and direct feedback.
- You are comfortable adapting and iterating in a dynamic, evolving environment.
- You are eager and willing to learn and grow rapidly with AI and AI tools.
