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.
Responsibilities:
- 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 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 accelerating performance investigations, building tooling and agents, and iterating faster on optimization approaches
Requirements:
- 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
- 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
- Strong track record of critical evaluation and verification of AI-assisted work
Benefits:
- Base salary range: $177,185-$364,795 USD
- Equity eligibility
- Flexible working model
Note: This role will need to be in the office for in-person collaboration 1-2 times/month.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/pinterest/jobs/7494668