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PinterestPinterestSan Francisco, CA

Staff Software Engineer, Capacity Engineering

Staff Software Engineer improving efficiency and performance of Pinterest's large-scale Kubernetes and distributed cloud infrastructure. Requires deep capacity/performance expertise, experience leading efficiency initiatives at scale, and strong AI collaboration skills.

177k – 365k/yr
Hybrid7+ YOEDevOps / SRE

About the role

What you’ll do

  • Improve the efficiency of large scale shared environments like Kubernetes
  • Improve the performance and efficiency of large scale distributed systems that drive Pinterest systems
  • Build, develop and mature profiling and optimization capabilities for Pinterest scale
  • 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

What we’re looking for

  • Bachelor’s degree in computer science, a related field or equivalent experience
  • Deep understanding of infrastructure capacity and performance
  • Experience leading efficiency initiatives at scale on Kubernetes or other large scale shared infrastructure
  • Strong technical and performance engineering skills to collaborate with stakeholders on complex and ambiguous technical challenges
  • Experience building and managing highly available distributed applications at scale
  • Proficiency in software development languages such as Java, Python and C++
  • Excellent skills in communicating complex technical issues
  • Experience with AWS or similar cloud environments
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

Bonus points for the following

  • Hands-on experience with large, cloud-native multi-tenant platforms at Internet scale

Skills

KubernetesJavaPythonC++AWSDistributed Systemsperformance engineeringprofilingoptimizationAI Tools

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