Sr. Production Engineer, Solutions Engineering

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 productivity, and transform successful consulting patterns into reusable platforms that democratize reliability expertise across Pinterest's 2500+ engineers.

Design and build AI agents that augment production reliability work - Develop agents that assist engineers with service health analysis, reliability recommendations, migration playbook generation, and risk identification, enabling faster decision-making while keeping humans in the loop for critical judgment calls

Drive large-scale infrastructure modernization with AI-accelerated execution - Lead Kubernetes adoption and platform transitions using AI to generate automation, accelerate delivery, and create patterns that enable self-service adoption for standard use cases while tackling novel architecture challenges

Transform consulting patterns into scalable platforms - Execute scoped reliability engagements with engineering teams, then encode successful approaches into AI-assisted tools, automation, and self-serve documentation that enable teams to handle similar problems independently while escalating complex challenges to experts

Build the knowledge infrastructure that powers Pinterest's operational agent ecosystem - Create migration playbooks, operational runbooks, incident patterns, and best practices that democratize reliability expertise and raise the baseline capabilities of all Pinterest engineers

Develop software solutions to enable reliability and operability of large-scale distributed systems - Build a deep understanding of how Pinterest's systems behave, scale, interact and fail, and use that insight to identify risks and opportunities for remediation through automation

Build tools and automation to eliminate toil and reduce operational overhead - Create frameworks, processes and best practices that encode reliability expertise into software, making operational excellence accessible to all engineers while freeing experts to tackle harder problems

Build meaningful, insightful and actionable SLIs - Develop service level indicators that provide clear signals of system health and enable data-driven reliability decisions across Pinterest Engineering

Automate critical portions of Pinterest's engineering processes - Build automation that minimizes risk and maximizes the speed of innovation, enabling safe, rapid deployment and operational changes at scale

Manage capacity and performance to help scale our infrastructure - Partner with teams to plan and optimize capacity across public and private clouds around the world, ensuring efficient resource utilization as Pinterest grows