Staff Software Engineer (Capacity Engineering)
Posted Updated
Description
- Pinterest is seeking a Staff Software Engineer, Capacity Engineering
- The team is responsible for efficiently managing one of the largest-scale cloud-native infrastructures in the world
- This role is highly impactful, as efficiency is an ongoing strategic priority for Pinterest
- The role has direct visibility across Pinterest Engineering and with Engineering and company leadership
- The team is looking for a candidate with a strong background in implementing performance and efficiency projects on large scale distributed systems
- 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
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
- Strong technical and performance engineering skills to collaborate with stakeholders on complex and ambiguous technical challenges
- Excellent skills in communicating complex technical issues
- Experience leading efficiency initiatives at scale on Kubernetes or other large scale shared infrastructure
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Deep understanding of infrastructure capacity and performance
- Bachelor’s degree in computer science, a related field or equivalent experience
- Proficiency in software development languages such as Java, Python and C++
- Experience with AWS or similar cloud environments
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- Experience building and managing highly available distributed applications at scale
- Hands-on experience with large, cloud-native multi-tenant platforms at Internet scale