Staff Software Engineer, Capacity Engineering

Before you apply

Job source

Ats

Applying on

pinterestcareers.com

Workplace

Fully remote

US state

CA

Category

IT

Link last checked

4 hours ago

Posted

3 months ago

Closes

No stated closing date

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About the role

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . 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. In this individual-contributor role you will own and drive performance and efficiency for a core area of Capacity Engineering, partnering with the company-wide efficiency lead and collaborating with performance and efficiency leaders across the organization. What you’ll do: 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 What we’re looking for: Bachelor’s degree in computer science, a related field or equivalent experience Deep understanding of infrastructure capacity and performance, with a strong command of system and hardware fundamentals (how things work under the hood: CPU, memory, OS scheduling, I/O) Experience leading efficiency initiatives at scale on Kubernetes or other large scale shared infrastructure Strong technical and performance engineering skills, including fluency with profiling and performance tools such as perf and async-profiler, to root-cause complex, ambiguous problems and collaborate with stakeholders to drive solutions to implementation 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 impr

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