Senior Platform Engineer, AI DevEx- Kubernetes & AI Runtime

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

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