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Pinterest
Pinterest

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Staff Software Engineer

职能DevOps
级别Staff+
地点Zurich, Switzerland
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

Kubernetes

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.

Pinterest operates at a massive scale, serving 500+ million users globally with billions of requests daily. Our Cloud Platform team owns the foundational infrastructure technology that powers Pinterest's entire ecosystem. We're building Pin Compute, our next-generation Kubernetes-based platform that will eventually run all of Pinterest's workloads and services. This platform represents a multi-year transformation of how we build, deploy, and operate services at Pinterest scale.

We're looking for an exceptional Staff Software Engineer to lead the technical strategy and execution of our cloud infrastructure initiatives. You'll shape how Pinterest engineers build and deploy services, driving innovation in areas like container orchestration, service mesh, developer experience, and cloud-native architectures at Internet scale.

What you'll do:

  • Define and drive the multi-year technical strategy for Pinterest's Cloud Infrastructure platform, focusing on our Kubernetes-based Pin Compute platform that hosts thousands of services and petabytes of data.

  • Lead the design and implementation of complex, cross-team infrastructure initiatives including service mesh adoption, multi-region architectures, and developer platform capabilities.

  • Partner with teams across Pinterest to modernize our infrastructure stack, improving developer velocity while reducing operational complexity and costs.

  • Architect solutions for critical infrastructure challenges including auto-scaling, resource optimization, traffic management, and service reliability at Pinterest scale.

  • Drive adoption of cloud-native patterns and technologies across the engineering organization, establishing best practices and reference architectures.

  • Provide technical leadership during critical incidents and architect solutions to prevent recurrence.

  • Influence the broader Kubernetes and cloud-native community through open source contributions and conference presentations.

  • Mentor senior engineers across multiple teams, developing the next generation of infrastructure leaders.

What we're looking for:

  • 7+ years of experience building and operating large-scale production infrastructure.

  • Expertise with multi-tenant cluster orchestration systems such as Kubernetes, container orchestration, and cloud-native architectures is beneficial.

  • Proven track record of leading multi-year infrastructure transformations at internet-scale companies (billions of requests/day, thousands of services).

  • Background in service mesh technologies and traffic management at scale.

  • Expertise in infrastructure-as-code, Git Ops, and modern CI/CD practices.

  • Experience building developer platforms and tools that improve engineering productivity across hundreds of engineers.

  • Proficiency in C++, Go, or Java, with ability to contribute to infrastructure codebases.

  • Track record of driving cross-organizational technical initiatives with measurable business impact.

  • Bachelor's/Master's degree in Computer Science or equivalent experience.

Relocation Statement:

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

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 per week and therefore needs to be in a commutable distance from one of the following offices: Zurich.

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.

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关于Pinterest

Pinterest

Pinterest

Public

Pinterest is an American social media service for publishing and discovery of information in the form of digital pinboards. This includes recipes, home, style, motivation, and inspiration on the Internet using image sharing. Pinterest, Inc.

1,001-5,000

员工数

San Francisco

总部位置

$18.7B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

3.8

薪酬

2.7

企业文化

4.1

职业发展

2.5

管理层

3.0

65%

推荐率

优点

Flexible work arrangements and remote options

Great team culture and collaboration

Work-life balance

缺点

Limited career advancement and growth opportunities

Below average salary compensation

Management responsiveness and direction issues

薪资范围

63个数据点

Mid/L4

Mid/L4 · Data Analyst II, Measurement Research

1份报告

$205,784

年薪总额

基本工资

$158,295

股票

-

奖金

-

$205,784

$205,784

面试评价

3条评价

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit