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The Apps & Experiences Platform team powers the systems and services behind all of our user-facing applications, including Snowsight, Snowflake Intelligence, and new mobile experiences. Our mission is to build innovative backend services, developer tooling, platform infrastructure, and AI-powered capabilities that enable exceptional product experiences at scale. As part of our team, you’ll work across feature development, platform engineering, infrastructure, and internal tooling to support both end users and developers. We care deeply about building systems that are reliable, scalable, maintainable, and performant. Snowflake is a high-growth AI Data Cloud company, and we’re looking for exceptional engineers to help us scale the next generation of our platform. A key part of this is our work on our internal AI developer agent, which is designed to democratize end-to-end app development across all engineering teams by translating product specs and designs into fully functional, production-ready features. AS A SENIOR SOFTWARE ENGINEER FOR THE APPS & EXPERIENCES PLATFORM TEAM, YOU WILL: Design, build, and operate scalable backend services and platform infrastructure that power Snowflake’s user-facing applications. Contribute across the full development lifecycle, from technical design and implementation to testing, deployment, and operational excellence. Collaborate closely with engineers, product managers, and cross-functional teams to deliver high-quality features and platform capabilities. Drive improvements to system reliability, scalability, performance, and developer productivity. Participate in architecture and design discussions, helping shape technical direction and engineering best practices. Build and operate cloud-native infrastructure and services running on Kubernetes. Improve deployment, observability, and operational workflows for services running in containerized environments. Debug and resolve complex production issues across distributed systems, Kubernetes infrastructure, and platform services. Build and enhance internal tools, including our coding agent/orchestrator, to create AI-assisted workflows that enable self-serve building of production features end-to-end on the platform through prompts. Contribute to a strong engineering culture through code reviews, knowledge sharing, mentoring, and operational ownership.