Software Engineer II (Backend, Business Systems)

At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

WHOOP is hiring a Software Engineer II 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:

• Design, implement, and maintain scalable backend services and APIs that power business-critical systems and integrations.

• Contribute in design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency.

• Collaborate with product managers, data engineers, and internal business teams to gather requirements and build effective technical solutions.

• Contribute to the team’s codebase with high-quality, testable, and well-documented code.

• Identify system bottlenecks and improve the performance, reliability, and maintainability of backend systems.

• Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement.

• Participate in code reviews and mentor junior engineers to foster a culture of engineering excellence.

QUALIFICATIONS:

• BS in Computer Science, Engineering, or equivalent experience.

• 2+ years of experience in backend software development with a strong foundation in computer science principles

• Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar).

• Experience building and maintaining APIs, integrations, and distributed systems.

• Comfortable working with relational databases, data modeling, and query optimization.

• Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems.

• Excellent communication skills and ability to work cross-functionally with technical and non-technical teams

• Strong sense of ownership and ability to deliver quality solutions in a fast-paced environment

• A growth mindset and eagerness to learn from feedback and new challenges.

• 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.