Manager II, Engineering - Kubernetes Platform

Role overview

Lead an engineering team responsible for the infrastructure and tools that help engineers run services on Kubernetes. The role sets the platform’s direction and supports production systems that must remain reliable, secure, scalable, and efficient. It combines people leadership, technical decision-making, and close partnership with teams across the organization.

Responsibilities - Lead and develop engineers building and operating Kubernetes platform infrastructure. - Set the team’s annual strategy, roadmap, and measures of success. - Improve platform reliability, security, scalability, and operational efficiency. - Guide architecture and technical decisions, bringing in expertise and setting direction when needed. - Develop automation, standard configurations, and self-service tools to reduce manual effort. - Set expectations for observability, on-call, incident response, and safe production changes. - Coordinate with engineering, product, finance, security, and cloud partners on shared challenges.

Requirements - Degree in computer science or a related area, or equivalent practical experience. - At least three years managing engineering teams in infrastructure, platform, SRE, cloud, or distributed systems. - Experience leading teams that operate large-scale cloud infrastructure, Kubernetes, shared compute, or similar production systems. - Track record setting multi-quarter technical strategy and delivering through senior engineers. - Technical experience with public cloud, highly available distributed systems, Kubernetes, and production operations. - Experience leading cross-functional infrastructure programs and explaining tradeoffs in reliability, security, cost, capacity, and delivery. - Ability to use AI tools thoughtfully, verify their outputs, protect sensitive data, and remain accountable for decisions.

Nice to have

Experience with managed Kubernetes services such as EKS or GKE, large fleets or multi-tenant compute, infrastructure as code, networking, observability, platform upgrades, or GPU and machine-learning infrastructure.

Benefits and work setup

The role can be based anywhere in the United States, with in-office collaboration expected one or two times per quarter. Relocation assistance is not available.