WHOOP

Senior Software Engineer (Backend, Business Systems)

WHOOP • US
GoJavaPython
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

WHOOP is hiring a Senior Software Engineer to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally.

RESPONSIBILITIES:

  • Architect, develop, and maintain backend services and APIs that power business-critical systems and integrations.
  • Lead the design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency.
  • Partner with stakeholders across the business to deeply understand needs and translate them into technical solutions.
  • Drive technical excellence through code reviews, best practices, and mentorship of other engineers.
  • Ensure reliability, performance, and security across backend systems, with a focus on scalability as WHOOP grows.
  • Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement.
  • QUALIFICATIONS:

  • BS in Computer Science, Engineering, or equivalent experience.
  • 5+ years of professional backend software engineering experience.
  • Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar).
  • Experience designing and maintaining APIs, integrations, and middleware.
  • Solid understanding of relational databases, data modeling, and query optimization.
  • Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems.
  • Proven ability to collaborate cross-functionally and deliver solutions that balance business and technical needs.
  • Experience mentoring engineers and contributing to a culture of learning and growth.
  • Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.