Who you are

• 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
• Bachelor’s or Master’s degree in a relevant field such as Computer Science, or equivalent experience

What the job involves

• The Site Reliability 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
• We're building the future on kubernetes and our job is to connect it with what Pinterest needs
• Pinterest’s 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
• 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 Pinterest’s 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 Pinterest’s 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