1,922,017open jobs
112,716companies
249,501added this week
Browse all
Salary
$177k – $365k per year
Location
Hybrid (San Francisco, United States)
Seniority
Middle · 3+ years exp
Visa
H-1B filings in 12 months: 287 · for this role: 159 · green card filings: 115

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 21, 2026. Pinterest scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Pinterest is an American visual discovery platform founded in 2010 where people save and organise images, products and ideas into themed boards. Unlike feed-based social networks it is built around planning future intent, so users arrive researching a kitchen renovation, an outfit or a holiday rather than to follow friends, which makes the audience unusually valuable to advertisers. Headquartered in San Francisco and listed on the New York Stock Exchange since 2019, the company earns nearly all of its revenue from advertising and has invested heavily in shoppable pins, visual search and AI-driven recommendations.

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 ourPinFlex page to learn more about our working model.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,922,017 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

DevOps
Similar stack
Same company
San Francisco
$136k – $219k per year • In office • Full-Time • 8+ years exp • Bachelor's Degree • Santa Clara
DevOps
HPC
Apply
≈ $76k – $153k per year (Estimated) • Hybrid • Full-Time • 3+ years exp • Bachelor's Degree • Rio de Janeiro
SQL
DevOps
Rest API
Splunk
Cybersecurity
Nmap
LDAP
Management
Jira
ServiceNow
ITIL
ITSM
Service Desk
Apply
DevOPs Engineer ll 1 month ago
$107k – $149k per year • In office • Full-Time • 5+ years exp • PhD • Plano • Charlotte
SQL
Apex
Apex
MuleSoft
Databases
Oracle
DevOps
Ansible
VMWare
Azure
CI/CD
Jenkins
Git
AWS
Windows
Apply
$85k – $95k per year • Hybrid • Ithaca
PowerShell
DevOps
Azure DevOps
Azure
CI/CD
Windows Server
Git
Graylog
Hyper-V
Windows
DNS
DHCP
VPN
Cybersecurity
FortiGate
Least Privilege
Microsoft Entra ID
Active Directory
PKI
SIEM
Apply
$87k – $165k per year • In office • Secret • Full-Time • 5+ years exp • Bachelor's Degree • McKinney
Python
SQL
PowerShell
C#
DevOps
Splunk
Design
AutoCAD
Apply
$72k – $126k per year • In office • Internship • San Francisco
Python
TypeScript
Python
FastAPI
Databases
Redis
Supabase
AI/ML
Copilot
Claude Code
Model Context Protocol
Multimodal AI
AI Agents
AWS Bedrock
DevOps
WebSockets
AWS
AWS Lambda
Amazon EC2
Apply
$160k – $220k per year • Equity 0–0.2% • In office • Full-Time • 3+ years exp • San Francisco
Python
Databases
Redis
Supabase
ClickHouse
AI/ML
Copilot
Model Context Protocol
ElevenLabs
Multimodal AI
AI Agents
AWS Bedrock
Gemini
Deepgram
LiveKit
Machine Learning
DevOps
Datadog
WebSockets
CI/CD
AWS
Grafana
AWS Lambda
Amazon EC2
QA
Sentry
Apply
$225k – $300k per year • Equity 0–0.2% • In office • Full-Time • 6+ years exp • San Francisco
Python
SQL
Databases
PostgreSQL
Redis
Supabase
ClickHouse
AI/ML
Copilot
Claude Code
Model Context Protocol
ElevenLabs
Multimodal AI
AI Agents
AWS Bedrock
Gemini
Deepgram
LiveKit
DevOps
Datadog
WebSockets
CI/CD
AWS
Grafana
AWS Lambda
Amazon EC2
QA
Sentry
Apply
AI Engineer 1 hour ago
$130k – $180k per year • Equity 0.1–0.5% • In office • Full-Time • 3+ years exp • San Francisco
Python
AI/ML
AutoGen
LangChain
Claude
Function Calling
AI Agents
LLM
RAG
OpenAI
Machine Learning
DevOps
GCP
CI/CD
AWS
Apply
Staff AI Engineer 1 hour ago
$200k – $300k per year • Equity 0.5–2% • In office • Full-Time • 6+ years exp • San Francisco
Python
AI/ML
Fine-tuning
AI Agents
LLM
RAG
Agentic Workflows
Apply
See all jobs
This is one of many
1,922,017 more open roles from verified company boards, updated every day.