Staff Software Engineer, Capacity Engineering

Job not on LinkedIn

🕒 June 1

🏢🏡 San Francisco – Hybrid

💵 $177.2k - $364.8k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Logo of Zigsaw

Zigsaw

WebsiteLinkedIn

11 - 50 employees

Founded 2016

Making Job-search and talent discovery simpler, faster and effective for Job-seekers.

📋 Description

• 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

🎯 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 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

🏖️ Benefits

• Information regarding the culture at Pinterest and benefits available for this position can be found here.

Apply Now

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