Senior Software Engineer (Backend, Business Systems)

At Keystone AI, we're on a mission to unlock human performance and healthspan. Keystone AI empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
Keystone AI 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 Keystone AI’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 Keystone AI delivers value to its members and scales globally.
RESPONSIBILITIES:
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– 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 Keystone AI grows.
– Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement.
QUALIFICATIONS:
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– 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.
Learn more about our Software Org and how to be successful in your engineering career at Keystone AI via our Career Framework https://engineering.prod.whoop.com/careerframework.

This role is based in the Keystone AI office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At Keystone AI, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

Keystone AI is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The Keystone AI compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.

At Keystone AI, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of Keystone AI and share in the company’s long-term growth and success.

The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.

In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.