Staff Software Engineer, Capacity Engineering

Responsibilities

• Drive efficiency in large-scale shared environments like Kubernetes, including scheduling optimization, resource-overhead reduction, and resource isolation in multi-tenant clusters
• Improve the performance and efficiency of large scale distributed systems that drive Pinterest systems
• Use profiling and performance tooling fluently to root-cause performance and efficiency problems, propose solutions, and partner with the owning teams to implement and validate them
• Collaborate with Infrastructure Engineering and SRE teams in their mission to deliver highly available, resilient, secure and efficient foundations for Pinterest’s tech stack
• Leverage AI to scale the impact of yourself and the team, including
• Accelerate performance investigations (e.g. quickly distill logs/metrics/traces and prior learnings) while verifying findings through measurement and testing
• Build tooling and agents that allow users to self-serve efficiency insights and recommendations
• Iterate faster on optimization approaches and rollout plans, then validate impact with experiments and production guardrails

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