Senior Software Engineer, AI Platform for User Experiences

About the role

Snowflake is a high-growth AI Data Cloud company seeking exceptional engineers to help scale the next generation of our platform. This role is within the Apps & Experiences Platform team, which powers the systems and services behind all of our user-facing applications.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• BS/MS/PhD in Computer Science or related fields, or equivalent practical experience.

Skills

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with distributed systems, APIs, cloud infrastructure, or developer platforms.
• Strong coding and debugging skills.
• Experience with Kubernetes.
• Experience with cloud-native architectures, container orchestration, service reliability, and observability.

Benefits

• Medical, dental, vision, life, and disability insurance.
• 401(k) retirement plan.
• Flexible spending & health savings account.
• At least 12 paid holidays.
• Paid time off.
• Parental leave.
• Employee assistance program.
• Other company benefits.