Sr. Production Engineer

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 were 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 others unique experiences and embrace theflexibility to do your best work. Creating a career you love Its Possible.

At Pinterest AI isnt just a feature its a powerful partner that augments our creativity and amplifies our impact and were looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities well 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.

The Production Engineering organization at Pinterest is accountable for ensuring overall Pinterest availability as well as enhancing Engineering teams capability to design build and operate robust systems at scale. We are hiring a Sr. SRE to join our Compute SRE team. This team is responsible for ensuring that all compute workloads run smoothly on Pinterest. Were building the future on kubernetes and our job is to connect it with what Pinterest needs.

Pinterests applications and infrastructure that handle billions of monthly page views and petabytes of data as Pinterest continues to grow and scale. As a Pinterest SRE you will design and build systems platforms tools frameworks and methodologies to assure the reliability of our large-scale distributed systems.

What Youll Do:

• Tackle project challenges on EKS such as implementing Karpenter. This work affects how every developer codes tests and improves their work
• Collaborate across various teams to drive projects forward using open-source tools
• Build a deep understanding of how Pinterests systems behave scale interact and fail and use that insight to identity risks and opportunities for remediation
• Build tools and automation to eliminate toil and reduce operational overhead. Create frameworks processes and best practices to be used across Pinterest Engineering
• Build meaningful insightful and actionable SLIs
• Automate critical portions of Pinterests engineering processes to minimize risk and maximize the speed of innovation
• Manage capacity and performance to help scale our infrastructure both on public and private clouds around the world
• Use AI for analysis of incidents operational signals and system behaviors to help identify patterns and generate plans and propose remediation approaches.
• Leverage AI to speed development of runbooks automation workflows reliability tooling by drafting iterating and refining approaches.

What Were Looking For:

• Strong knowledge of Kubernetes (specially EKS) including deploy patterns rollout safety and core debugging workflows
• 4 years of experience with programming languages (Python or Golang preferred)
• Strong experience managing projects and initiatives end-to-end
• Hands-on experience with AI-assisted development tools such as Cursor GitHub Copilot or Claude for code generation debugging and documentation
• Demonstrated ability to write effective prompts to get high-quality reliable outputs from LLMs
• 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
• Experience with technologies such as Terraform Buildkite and/or ArgoCD is required
• Bachelors or Masters degree in a relevant field such as Computer Science or equivalent experience

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

In-Office Requirement Statement
We let the type of work you do guide the collaboration style. That means were 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 half and therefore can be situated anywhere in Ontario.

#LI-CH1