Skip to content
Level

Pinterest

Manager II, Engineering - Kubernetes Platform

Pinterest is hiring a Manager II, Engineering - Kubernetes Platform for a remote role open to applicants in United States. Level rates it ; you can apply on Pinterest.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Kubernetes, infrastructure and engineering management.
  • Level lists 161 other open roles at Pinterest.
  • The role was posted within the past two weeks.

AI in this role

Lead the Kubernetes Platform engineering team to build scalable and reliable infrastructure and tooling.

kubernetes
infrastructurekubernetesengineering-managementdistributed-systemsautomation

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 Manager II, Engineering to lead our Kubernetes Platform team. The team builds and operates the infrastructure and tooling that help engineers run reliable, scalable services on Kubernetes.

You will lead engineers working on production systems that need to be dependable, secure, efficient, and straightforward for customers to use. You will work with partner teams across Pinterest to improve the platform, reduce operational friction, and make sound decisions when reliability, speed, cost, and security pull in different directions.

What you’ll do: 

  • Lead a team of engineers responsible for Kubernetes platform infrastructure and the systems that support it.
  • Establish the team’s 12-month strategy, roadmap, and success measures.
  • Improve the reliability, security, scalability, and operational efficiency of the platform.
  • Drive architecture and technical decisions, including in areas that are new to you. Build context quickly, involve the right experts, and make decisions when the team needs direction.
  • Build automation, standard configurations, and self-service paths that reduce manual work for both the team and its customers.
  • Set a high bar for how the team operates production systems, including service health, observability, on-call, incident response, and safe changes.
  • Partner with engineering, product, finance, security, and cloud-provider teams on shared technical and operational challenges.
  • Recruit, coach, and develop engineers; empower senior technical leaders; and sustain an inclusive, accountable team.
  • Use AI to accelerate analysis, investigations, documentation, and repeatable workflows while applying judgment and verification to ensure quality.

What we’re looking for:

  • Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
  • Minimum 3 years of experience managing engineering teams in infrastructure, platform engineering, Site Reliability Engineering, cloud systems, distributed systems, or similar technical areas.
  • Experience managing and developing teams that build or operate large-scale cloud infrastructure, Kubernetes platforms, shared compute platforms, or other production systems.
  • Experience setting a multi-quarter technical strategy and delivering through senior engineers.
  • Technical experience in public cloud, highly available distributed systems, Kubernetes or shared-compute platforms, and production operations.
  • A strong reliability mindset and experience leading teams responsible for the operational quality of production systems.
  • Experience leading cross-functional infrastructure programs and communicating reliability, security, cost, capacity, and delivery tradeoffs to partner teams.
  • Demonstrated ability to use AI to improve speed and quality in day-to-day work.
  • Strong record of evaluating AI-assisted work through testing, source checking, data validation, or peer review.
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

    • Preferred qualifications
      • Experience managing a Production Engineering, Site Reliability Engineering, or similarly production-focused infrastructure team.
      • Experience with managed Kubernetes services, especially Amazon EKS or Google Kubernetes Engine (GKE).
      • Experience operating a large Kubernetes fleet or multi-tenant compute platform.
      • Experience with infrastructure as code, Kubernetes lifecycle management, observability, networking, or production upgrades.
      • Experience with GPU or machine-learning infrastructure, capacity management, cloud cost, or resource allocation.

 

In-Office Requirement Statement: 

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times per quarter 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.

How we rate this

Manager II, Engineering - Kubernetes Platform at Pinterest rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

InfrastructureKubernetesEngineering ManagementDistributed SystemsAutomation

Questions you could be asked

  1. Tell me about a project where infrastructure was part of your work. What did you do?
  2. Tell me about a project where kubernetes was part of your work. What did you do?
  3. Tell me about a project where engineering management was part of your work. What did you do?
  4. Tell me about a project where distributed systems was part of your work. What did you do?
  5. Tell me about a project where automation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Infrastructure, Kubernetes, Engineering Management, Distributed Systems, and Automation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get new remote software engineering jobs by email

One email a week with the new remote software engineering jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Software Engineering roles that involve little AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Pinterest

Related searches

Same AI level

Jobs by city