Senior Production Engineer, Solutions Engineering

Responsibilities

• Design and build AI agents that augment production reliability work
• Drive large-scale infrastructure modernization with AI-accelerated execution
• Transform consulting patterns into scalable platforms
• Build the knowledge infrastructure that powers Pinterest's operational agent ecosystem
• Develop software solutions to enable reliability and operability of large-scale distributed systems
• Build tools and automation to eliminate toil and reduce operational overhead
• Build meaningful, insightful and actionable SLIs
• Automate critical portions of Pinterest's engineering processes
• Manage capacity and performance to help scale our infrastructure

• 5+ years of industry experience building and operating large-scale, high-performance distributed systems
• Bachelor's degree in Computer Science or related field, or equivalent experience
• Strong programming skills in Python or Go - ability to build production-grade platforms, agents, and automation
• Deep knowledge of Linux/Unix internals and experience with open source infrastructure (MySQL, Kafka, Envoy, Hadoop, etc.)
• Infrastructure as Code experience (Terraform, Puppet, Chef, Ansible, Docker, Kubernetes)
• Experience deploying web applications to cloud infrastructure (AWS, GCP, or Azure) and working with distributed, service-oriented architecture
• Experience developing AI agents for infrastructure automation, operational decision-making, or reliability workflows (preferred)
• AI/ML infrastructure experience (LLM-based systems, model serving, agentic workflows) (preferred)
• Technical consulting or embedded SRE experience with cross-functional engineering teams (preferred)