Technology
Sr.ProductionEngineer,SolutionsEngineering
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Production Engineer, Solutions Engineering at Pinterest. Skills: Production Engineering, Solutions Engineering, AI Agents, Distributed Systems. Design and build AI agents. Develop agents for service health analysis”
What You'll Achieve.
Assure system reliability; Eliminate operational toil; Amplify engineering productivity; Democratize reliability expertise; Enable faster decision-making; Accelerate delivery; Enable self-service adoption; Handle similar problems independently; Raise baseline capabilities; Identify risks and opportunities; Reduce operational overhead; Enable data-driven reliability decisions; Minimize risk; Maximize speed of innovation; Ensure efficient resource utilization
Industry & Context.
Root cause analysis; Troubleshooting; Risk identification
In-office 1-2 times every 6 months
What They're Looking For.
Must Have
5+ years industry experience, Bachelor's degree in Computer Science, Python or Go programming skills, Deep knowledge of Linux/Unix internals, Open source infrastructure experience, Infrastructure as Code experience, Experience deploying web applications, Experience with distributed, service-oriented architecture
Nice to Have
Experience developing AI agents, AI/ML infrastructure experience, Technical consulting experience, Embedded SRE experience
What You'll Do.
Design and build AI agents
Develop agents for service health analysis
Develop agents for reliability recommendations
Develop agents for migration playbook generation
Develop agents for risk identification
Drive infrastructure modernization with AI
Lead Kubernetes adoption
Lead platform transitions using AI
Transform consulting patterns into platforms
Execute reliability engagements
Encode approaches into AI-assisted tools
Build knowledge infrastructure
Create migration playbooks
Create operational runbooks
Create incident patterns
Develop software solutions for reliability
Build tools and automation
Build insightful SLIs
Automate engineering processes
Manage capacity and performance
How You'll Work.
Team & Collaboration
Cross-functional engineering teams; Engineering teams
Full Job Description
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. 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. Pinterest's applications and infrastructure handle billions of monthly page views and petabytes of data as Pinterest continues to grow and scale. As a Senior Production Engineer on Solutions Engineering, you will design and build AI agents, platforms, tools, frameworks and methodologies to assure the reliability of our large-scale distributed systems serving hundreds of millions of monthly active users, handling hundreds of thousands of requests per second, and managing tens of petabytes of data. You'll lead infrastructure modernization initiatives, build intelligent automation that eliminates operational toil and amplifies engineering pro
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