Senior Software Engineer, AI Platform User Experiences

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI‑native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high‑trust collaborator that is core to how you solve problems and accelerate your impact.

We look for low‑ego individuals who thrive in dynamic and fast‑moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn’t just to execute a function, but to help redefine the future of how work gets done.

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  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 fundamentally democratize end‑to‑end web app development across all engineering teams by translating product specs and designs into a fully functional, production‑ready feature set.

• 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.

• 6+ years of experience designing and building large‑scale distributed or user‑facing systems in production environments.
• Strong software engineering fundamentals and hands‑on experience building highly reliable, scalable backend systems.
• Experience building and operating services on Kubernetes in production environments.
• Strong understanding of cloud‑native architectures, container orchestration, service reliability, and observability.
• Experience with distributed systems, APIs, cloud infrastructure, or developer platforms.
• Strong coding and debugging skills, with the ability to navigate complex system architectures.
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Strong collaboration and communication skills with the ability to work effectively across teams.
• BS/MS/PhD in Computer Science or related fields, or equivalent practical experience.

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