Backend Software Engineer, AI Platform for User Experiences

Location

US-WA-Bellevue; US-CA-Menlo Park

Employment Type

Full time

Location Type

Hybrid

Department

Engineering

Compensation

• $160K – $230K

OverviewApplication 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 features
• Frontend infrastructure and shared services for product teams
• Storage and metadata systems backing UX features and AI workflows
• Testing and reliability systems, including CI/CD pipelines and release tooling
• The monitoring and logging stack that ensures observability and trust

AS 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 PEand Cortex teams to turn real-world customer problems into robust shipped product features.
• Contribute to technical vision for an AI-first user experience platformand help set best practices for backendand AI engineering withinthe org.

OUR IDEAL SOFTWARE ENGINEER WILL HAVE:

• 3+ years of industry experience designingand building backend systems or large-scale web applications.
• Strong programming skills in at least one of: Java, Go, Python
• Solid experience buildingand operating distributed systemsand microservices:
• REST/gRPC APIs service-to-service communication configuration management
• Performance tuning caching,and scalability patterns
• Strong SQL skillsand experience with relational databases;experience with Snowflake SQL Server Oracle or Teradata is a plus.
• Deep computer science fundamentals in data structures algorithms concurrency 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 “golden sets”for AI or automation systems
• Familiarity with modern web application architectures including:
• Backend-for-front end patterns API gateways authentication/authorization secure service design
• Optional exposure to TypeScript/Node.js or React is a plus especially when collaborating closely with frontend teams.
• Experience building highly reliable observable systems:
• Logging tracing metrics dashboards on-call best practices
• Testing at multiple levels (unit integration end-to-end load/regression)
• Passion for AI-first user experiences building platforms enabling many teams move faster while keeping systems maintainable safe
• Strong communication collaboration skills ability work across disciplines drive cross-functional initiatives
• BS/MS in Computer Science Engineering related field or equivalent practical experience

Every Snowflake employee is expected to follow company confidentiality security standards handling sensitive data. Snowflake is growing fast scaling team enable accelerate growth looking people share values challenge ordinary thinking push pace innovation build future themselves Snowflake. How do you want make impact? For jobs located United States please visit job posting on Snowflake Careers Site salary benefits information: careers.snowflake.com Compensation Range: $160K-$230K Apply for this Job