Staff Software Engineer (Backend, Healthcare)
Boston, MAFull-TimeStaffSoftware Engineering
RESPONSIBILITIES:
- Drive and define backend engineering efforts within a cross-functional group, collaborating with designers, product managers, other engineers, and our Digital Health team to refine and advance the WHOOP platform.
- Architect, develop, and maintain robust backend services using Java, Kafka, Postgres, and other AWS technologies, ensuring scalability, high availability, and seamless user experiences
- Drive the ideation, technical design, and implementation of new features and platforms, transforming complex requirements into reliable, scalable solutions.
- Ensure self-alignment with business priorities, define where your time is best spent, and be nimble when business priorities shift.
- Design platforms that are both scalable and re-usable, enabling rapid integration and expansion of features to new geographies and user groups
- Mentor junior engineers, fostering a culture of technical excellence, continuous improvement, and collaborative innovation
QUALIFICATIONS:
- Demonstrated ability to interface with multiple product domains, particularly in developing backend solutions for dynamic and content-rich home screens akin to leading web or mobile portals, ensuring a seamless, engaging, and responsive user experience.
- Deep expertise in backend development, with a strong foundation in object-oriented programming, API design, and relational databases (RESTful APIs, Postgres)
- Proven experience in managing asynchronous processing systems (Kafka, SQS) and in developing solutions that meet high standards of scalability and reliability
- Skilled in writing comprehensive tests and creating clear, maintainable documentation that supports a range of technical stakeholders
- A strategic problem-solver who approaches significant challenges incrementally, guided by data-driven insights and a commitment to agile, iterative development
- A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environment
