远程工作雷达

资深软件工程师,容量工程

Staff Software Engineer, Capacity Engineering

开发工程限定地区(需当地身份)
公司Pinterest
薪资未公开
工作地点San Francisco, CA, US; Remote, US
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-07-16
数据来源Greenhouse
前往企业招聘页投递 →
注意地域限制:该职位明确限定在 San Francisco, CA, US; Remote, US 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

Pinterest的使命是为每个人带来创造理想生活的灵感,而这一切始于产品背后的每一个人。全球数以百万计的人来到我们的平台,寻找创意点子,畅想新的可能性,并规划将伴随一生的回忆。

在这里,你可以开启一段职业生涯,点燃创新,将热情转化为成长机会,庆祝彼此的独特经历,并拥抱灵活的工作方式,发挥出最好的工作状态。创造你热爱的职业?这完全有可能。

在Pinterest,AI不仅仅是一个功能,它是一个强大的合作伙伴,增强我们的创造力并放大我们的影响力,我们正在寻找那些热衷于成为其中一员的候选人。为了全面了解你的经验和能力,我们将考察你的基础技能以及与AI协作的方式。

在我们的面试过程中,最重要的是你能清晰地解释你的思路,不仅展示你掌握的知识,更展现你的思维方式。你可以在此了解更多关于我们的AI面试理念以及我们如何在招聘过程中使用AI的信息。

Pinterest正在寻找一名资深软件工程师,负责容量工程。该团队负责高效管理全球最大的云原生基础设施之一。这个职位具有高度影响力,因为效率是Pinterest持续的战略重点。该职位在Pinterest工程团队以及工程和公司管理层中具有直接可见性。团队希望找到一位在大型分布式系统上实施性能和效率项目方面有扎实背景的候选人。在这个个人贡献者角色中,你将负责并推动容量工程核心领域的性能和效率,与全公司范围的效率负责人合作,并与组织内各处的性能和效率领导者协作。

你将负责:

  • 在Kubernetes等大规模共享环境中提升效率,包括调度优化、资源开销减少以及多租户集群中的资源隔离
  • 提升驱动Pinterest系统的大型分布式系统的性能和效率
  • 熟练使用分析和性能工具来定位性能和效率问题,提出解决方案,并与相关团队合作实施和验证
  • 与基础设施工程和SRE团队协作
查看英文原文

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 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

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/month and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

#LI-JT1
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

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

US based applicants only
$177,185—$364,795 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

本页面信息整理自 Greenhouse,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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