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Whoop
Boston, Massachusetts, United States
Source: Whoop careers · View original posting
From Whoop's posting. “We” and “our” refer to the employer.
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.
We are seeking a Senior Software Engineer, Data Platform to build and evolve the foundational infrastructure that powers our data platform, lakehouse, and real-time data systems. In this role, you will partner closely with data engineers, ML platform engineers, software engineers, and data scientists to design, develop, and operate the core services and workflows that enable reliable, scalable, and efficient data movement across the organization.
As a senior individual contributor, you will own critical parts of the platform end to end - from architecture and implementation to reliability, observability, and operational excellence. You will help shape the technical direction of WHOOP’s data ecosystem, improve developer experience for internal data consumers, and ensure our systems can support analytics, machine learning, and product innovation at scale.This role requires a strong ownership mindset, the ability to operate with minimal guidance, and a focus on delivering
production grade systems.
You are also expected to actively leverage AI assisted development tools to improve speed, quality, and maintainability, and to help set the standard for effective AI usage across the team.
Design, build, and operate the core infrastructure and services that power WHOOP’s data platform, including lakehouse, warehouse, and streaming systems.
Improve the performance, reliability, and cost efficiency of our data systems, including Iceberg, Snowflake, and AWS-based data infrastructure.
Build and enhance internal tooling, APIs, and automation that improve platform usability and developer experience for data engineers, analysts, and data scientists.
Lead platform engineering best practices across CI/CD, infrastructure as code, testing, deployments, and operational readiness.
Strengthen observability and operational excellence through monitoring, alerting, incident response, and continuous improvement of production systems.
Partner cross-functionally with Data Science, Analytics, ML Platform, and Software Engineering teams to support scalable and efficient data workflows.
Drive best practices for data architecture, pipeline design, governance, and platform usage across the company.
Leverage AI tools to accelerate development, improve code quality, and enhance debugging and documentation workflows
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.
Learn more about
WHOOP.
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