The ad says“Experience with orchestration frameworks such as Airflow or Prefect”
The ad says“Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure”
The ad says“Strong understanding of CI/CD, infrastructure as code, and DevOps practices for data platforms”
The ad says“Strong understanding of CI/CD, infrastructure as code, and DevOps practices for data platforms”
The ad says“Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure”
The ad says“Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure”
The ad says“Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure”
The ad says“Strong understanding of CI/CD, infrastructure as code, and DevOps practices for data platforms”
The ad says“Experience with orchestration frameworks such as Airflow or Prefect”
The ad says“Strong proficiency in Python and SQL. Java experience is nice to have”
The ad says“Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure”
The ad says“Hands-on experience with Snowflake and modern cloud data infrastructure”
The ad says“Strong proficiency in Python and SQL. Java experience is nice to have”
Values
The ad says“Strong proficiency in Python and SQL. Java experience is nice to have”
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
Benefits
Flexible Vacation: WHOOP has a flexible vacation policy that allows you to unwind, laptop-free, when you need it most.
Focus on Family: We offer 18 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.
Get Invested: In addition to a competitive base salary and 401k, you’re eligible to receive stock options to share in the future of WHOOP.
WHOOP +1: Everyone on the team gets a complimentary WHOOP membership—plus another membership to share with a loved one.
Health Matters: Our competitive benefits package covers medical, dental, and vision, in addition to mental health services, life and disability insurance, and more.
Find Your Fit: Full-time employees get $500 a year to spend on wellness in whatever way they see fit, from fitness classes and memberships, to recovery services.
It Pays to Sleep: Our Sleep Performance Program incentivizes employees to get more sleep. Log an average sleep performance of 85% or higher for the month and get a $100 bonus.
Location, Location, Location: You can’t beat the views from the rooftop of One Kenmore Square. Feel inspired daily as you work, enjoy free snacks and coffee, and collaborate in the heart of Boston.
Preferred experience
Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure
Experience with orchestration frameworks such as Airflow or Prefect
5+ years of experience in data engineering, platform engineering, or software engineering with significant ownership of production data systems
Strong communication and collaboration skills, with the ability to work effectively across engineering and data teams
Strong understanding of CI/CD, infrastructure as code, and DevOps practices for data platforms
Experience designing and operating scalable data platforms, pipelines, or distributed data systems in production environments
BS in Computer Science, Engineering, or equivalent experience
Commitment to leveraging AI-assisted development tools thoughtfully and effectively, while maintaining a high bar for engineering quality
Ability to independently drive technical projects and own systems end to end with a high degree of autonomy
Strong proficiency in Python and SQL. Java experience is nice to have
Hands-on experience with Snowflake and modern cloud data infrastructure
