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Manager II, Engineering - Kubernetes Platform

Pinterest · San Francisco, CA, US; Remote, CA, US

remoteunknown$177,185–$177,185Posted Oct 21, 2026KubernetesAWS EKSGKESite Reliability Engineeringdistributed systemscloud infrastructureinfrastructure as codeobservability

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About this role

**About Pinterest** Millions of people around the world come to Pinterest to find creative ideas, dream about new possibilities, and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love—powered by the people behind the product. **Role Overview** Pinterest is seeking a **Manager II, Engineering** to lead the **Kubernetes Platform** team. The team builds and operates the infrastructure and tooling that help engineers run **reliable, scalable services on Kubernetes**. You’ll lead engineers working on production systems that must be **dependable, secure, efficient, and straightforward** for customers. You’ll partner across Pinterest to improve the platform, reduce operational friction, and make sound tradeoffs across **reliability, speed, cost, and security**. --- ## What you’ll do - Lead a team of engineers responsible for **Kubernetes platform infrastructure** and supporting systems. - Establish the team’s **12-month strategy, roadmap, and success measures**. - Improve **reliability, security, scalability, and operational efficiency**. - Drive architecture and technical decisions (including areas new to you): build context quickly, involve the right experts, and make decisions when direction is needed. - Build **automation, standard configurations, and self-service** paths to reduce manual work for both the team and customers. - Set a high bar for production operations: **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; sustain an **inclusive, accountable** team. - Use **AI** to accelerate analysis, investigations, documentation, and repeatable workflows—while applying judgment and verification to ensure quality. --- ## What we’re looking for - Bachelor’s degree in Computer Science (or related field) **or equivalent practical experience**. - **Minimum 3 years** managing engineering teams in areas such as infrastructure, platform engineering, SRE, cloud systems, distributed systems, or similar. - Experience managing/developing teams building or operating **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/shared compute platforms**, and production operations. - Strong **reliability mindset** and experience leading teams responsible for operational quality. - Experience leading cross-functional infrastructure programs and communicating tradeoffs across **reliability, security, cost, capacity, and delivery**. - Demonstrated ability to use **AI** to improve speed and quality in day-to-day work. - Strong record evaluating AI-assisted work via **testing, source checking, data validation, or peer review**. - High integrity and ownership: protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables. ### Preferred qualifications - Experience managing a **Production Engineering, SRE, or similarly production-focused** infrastructure team. - Experience with **managed Kubernetes services**, especially **Amazon EKS** or **Google

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