Manager II, Engineering - Kubernetes Platform

Pinterest • San Francisco, CA

2d • $177,185 - $364,795 • Remote

About The Position

Pinterest is seeking a Manager II, Engineering to lead its Kubernetes Platform team. The team builds and operates infrastructure and tooling that help engineers run reliable, scalable services on Kubernetes. The manager leads engineers responsible for dependable, secure, efficient production systems and partners across Pinterest to improve the platform, reduce operational friction, and balance reliability, speed, cost, and security.

The role includes setting the team’s 12-month strategy, roadmap, and success measures; guiding architecture and technical decisions; improving platform reliability, security, scalability, and operational efficiency; and creating automation, standard configurations, and self-service paths. The manager sets expectations for production operations, including service health, observability, on-call, incident response, and safe changes. They also partner with engineering, product, finance, security, and cloud-provider teams; recruit, coach, and develop engineers; empower senior technical leaders; and sustain an inclusive, accountable team. The role uses AI to accelerate work while requiring judgment and verification to maintain quality.

The role can be situated anywhere in the United States. It requires in-office collaboration 1–2 times per quarter. It is not eligible for relocation assistance. The stated US base salary range is $177,185–$364,795, and the position is also eligible for equity.

Requirements

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• At least 3 years of experience managing engineering teams in infrastructure, platform engineering, Site Reliability Engineering, cloud systems, distributed systems, or similar technical areas.
• Experience managing and developing teams that build or operate large-scale cloud infrastructure, Kubernetes platforms, shared compute platforms, or other production systems.
• Experience setting a multi-quarter technical strategy and delivering through senior engineers.
• Technical experience in public cloud, highly available distributed systems, Kubernetes or shared-compute platforms, and production operations.
• A strong reliability mindset and experience leading teams responsible for the operational quality of production systems.
• Experience leading cross-functional infrastructure programs and communicating reliability, security, cost, capacity, and delivery tradeoffs to partner teams.
• Demonstrated ability to use AI to improve speed and quality in day-to-day work.
• Strong record of evaluating AI-assisted work through testing, source checking, data validation, or peer review.
• High integrity and ownership, including protecting sensitive data, avoiding over-reliance on AI, and remaining accountable for final decisions and deliverables.

Nice To Haves

• Experience managing a Production Engineering, Site Reliability Engineering, or similarly production-focused infrastructure team.
• Experience with managed Kubernetes services, especially Amazon EKS or Google Kubernetes Engine (GKE).
• Experience operating a large Kubernetes fleet or multi-tenant compute platform.
• Experience with infrastructure as code, Kubernetes lifecycle management, observability, networking, or production upgrades.
• Experience with GPU or machine-learning infrastructure, capacity management, cloud cost, or resource allocation.

Responsibilities

• Lead a team responsible for Kubernetes platform infrastructure and supporting systems.
• Establish the team’s 12-month strategy, roadmap, and success measures.
• Improve platform reliability, security, scalability, and operational efficiency.
• Drive architecture and technical decisions, building context, involving experts, and providing direction when needed.
• Build automation, standard configurations, and self-service paths to reduce manual work for the team and its customers.
• Set a high bar for production operations, including service health, observability, on-call, incident response, and safe changes.
• Partner with engineering, product, finance, security, and cloud-provider teams on shared technical and operational challenges.
• Recruit, coach, and develop engineers; empower senior technical leaders; and sustain an inclusive, accountable team.
• Use AI to accelerate analysis, investigations, documentation, and repeatable workflows, applying judgment and verification to ensure quality.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager