Backend Software Engineer, AI Platform for User Experiences

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more.The Apps & Experiences (AppEx) organization powers the unified user experience for Snowflake. Every major Snowflake customer interacts with our platform through these surfaces, making AppEx central to both customer satisfaction and revenue growth.Within Appex, our team sits at the intersection of AI, platform, and user experience. We are on a mission to create an AI‑first, scalable, maintainable, and extensible platform to build all Snowflake user experience features. The team owns:The entire serving layer that powers Snowsight, Snowflake Intelligence, and UX featuresFrontend infrastructure and shared services for product teamsStorage and metadata systems backing UX features and AI workflowsTesting and reliability systems, including CI/CD pipelines and release toolingThe monitoring and logging stack that ensures observability and trustAS A BACKEND SOFTWARE ENGINEER ON THIS TEAM, YOU WILL:Build AI-first platform services that power Snowflake’s user experiences, including APIs, orchestration services, and storage layers that are safe, scalable, and easy to extend.Design and implement agentic systems and tools that automate complex coding, migration, and testing workflows (e.g., SQL/ETL migration, refactoring, and validation for customers adopting Snowflake).Own the full backend lifecycle: design, implementation, testing, deployment, monitoring, and continuous improvement of production services.Scale automated coding agents and backend workflows to dramatically reduce human effort.Define and improve evaluation loops: build golden datasets, rubrics, and metrics to measure quality of AI- and agent-driven systems, then “hillclimb” on those metrics.Evolve the serving & infra layer for Snowsight and related experiences (routing, configuration, permissions, performance tuning, resiliency).Improve platform reliability by investing in observability, alerting, SLOs, and automated remediation across our serving, storage, and AI systems.Collaborate cross-functionally with forward deployed engineers, product managers, designers, data scientists, and other PE and Cortex teams to turn real-world customer problems into robust, shipped product features.Contribute to technical vision for an AI-first user experience platform and help set best practices for backend and AI engineering within the org.OUR IDEAL SOFTWARE ENGINEER WILL HAVE:3+ years of industry experience designing and building backend systems or large-scale web applications.Strong programming skills in at least one of: Java, Go, PythonSolid experience building and operating distributed systems and microservices:REST/gRPC APIs, service-to-service communication, configuration managementPerformance tuning, caching, and scalability patternsStrong SQL skills and experience with relational databases; experience with Snowflake, SQL Server, Oracle, or Teradata is a plus.Deep computer science fundamentals in data structures, algorithms, concurrency, and system design.Experience with or strong interest in:AI/ML or LLM-based applications (agents, prompt/tool engineering, evals, or productionized AI features)Building evaluation frameworks, metrics, and “golden sets” for AI or automation systemsFamiliarity with modern web application a ... (truncated, view full listing at source)