Senior Platform Engineer (AI DevEx)

Whoop; Boston (MA); On-site; USD 140,000 - 180,000; Full time

Job summary

WHOOP is seeking a Senior Platform Engineer on the AI Devex team to drive our cloud deployment model and enable AI coding and review agents across the platform. You will help define strategy, mentor engineers, and partner with security and data teams to embed secure by default practices.

Based in the Boston office, you will design, develop, and operate Kubernetes clusters on AWS, drive scalability and performance, build cost-efficient tooling for long running tasks, and help automate the Dev

Qualifications

• 5+ years in DevOps, Platform, Site Reliability, CloudEngineering, or Backend roles.
• Deep understanding of Kubernetes architecture and core components.
• Experience with AWS and cloud infrastructure.
• Familiarity with IaC tools such as Terraform.

Responsibilities

• Design, develop, and operate Kubernetes clusters running on AWS infrastructure.
• Drive architectural designs to improve scalability, resiliency, performance, and security of our agent runtime environment.
• Build systems and tooling that increase our capability to run long running adhoc tasks on cost efficient infrastructure.
• Advance WHOOP's ability to automate portions of the development lifecycle.
• Lead developer productivity improvements through tooling, automation, and platform integrations.
• Partner with application, security, and data teams to embed secure-by-default infrastructure practices.
• Participate in incident response, root cause analysis, and postmortems to continuously improve platform reliability.
• Mentor and provide technical leadership to engineers across the Platform organization.
• Help define and execute the long-term roadmap for the AI Devex team.

Skills

Kubernetes

AWS

DevOps

Platform Engineering

Mentoring

Tools

Terraform

Job description

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. Protecting our members' data and ensuring our systems scale securely and reliably is core to this mission.

The AI Devex team exists to accelerate developer productivity across WHOOP by building, integrating, and operating a model-agnostic platform that powers AI coding agents, review agents, security agents, and expert-knowledge agentic workflows across the entire software development lifecycle. We are a force multiplier team driving underpinning business acceleration.

As a Senior Platform Engineer on the AI Devex team, you will play a key role in driving our cloud deployment model, collaborating with other Platform teams across infrastructure and security. You will build systems that enable our AI runtime environment.. You will help set the direction of the team in pursuit of driving impact on engineers across all WHOOP technology stacks.

RESPONSIBILITIES

• Design, develop, and operate Kubernetes clusters running on AWS infrastructure

• Drive architectural designs to improve scalability, resiliency, performance, and security of our agent runtime environment.

• Build systems and tooling that increase our capability to run long running adhoc tasks on cost efficient infrastructure.

• Advance WHOOP's ability to automate portions of the development lifecycle.

• Lead developer productivity improvements through tooling, automation, and platform integrations.

• Partner with application, security, and data teams to embed secure-by-default infrastructure practices.

• Participate in incident response, root cause analysis, and postmortems to continuously improve platform reliability.

• Mentor and provide technical leadership to engineers across the Platform organization.

• Help define and execute the long-term roadmap for the AI Devex team.

QUALIFICATIONS

• 5+ years of experience in DevOps, Platform, Site Reliability, CloudEngineering, or Backend Software Engineering roles

• Deep understanding of Kubernetes architecture and core components.

• Good knowledge of AI runtimes and their environmental requirements.

• Hands-on experience operating cloud infrastructure, preferably in AWS

• Hands-on experience with Infrastructure as Code tools (e.g. Terraform)

• Proven ability to evaluate system performance, identify bottlenecks, and use data to drive improvements

• Experience collaborating with multiple stakeholders and prioritizing work for maximum business impact

Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework.

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

WHOOP is an Equal Opportunity Employer and participates in E-verify 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.