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.
About the job
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
Kubernetes, Java, Python, C++, AWS, Distributed Systems, Performance Engineering, Profiling, Optimization, AI Tools
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