Snowflake
Senior Software Engineer - ManagedDB
- Employment type
- Full-time
- Workplace type
- Hybrid
- Location
- US-CA-Menlo Park
- Published
- Aug 31, 2026
- Last checked
- Oct 26, 2026
About this role
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.
SENIOR SOFTWARE ENGINEER - MANAGEDDB TEAM
Location: Menlo Park, CA
Work Authorization: US Citizenship or Lawful Permanent Resident (Green Card holder) required due to compliance requirements.
BUILD THE FUTURE OF DATA. JOIN THE SNOWFLAKE TEAM.
Snowflake customers run more than 3.9 billion queries and over 515 million data workloads each day.
The Snowflake Engineering team is a global team of high-performing engineers focused on building best-in-class tooling, automation, and a scalable infrastructure platform to power the Snowflake service. Our focus areas include Snowflake's global-scale multi-cloud infrastructure, core platform services, edge traffic delivery, and reliability engineering. We automate the deployment of the Snowflake production service across dozens of regions and all major cloud providers.
We are looking for a Senior Software Engineer to join our ManagedDB Team in Menlo Park, CA.
ManagedDB team is responsible in large number of databases running in every Snowflake region across several public cloud providers. Our systems sit at the critical path of multiple external and internal systems including Snowflake UI, Service Discovery, Deployment Automation, CoCo and many others. Given the massive and constantly accelerating volumes of data flowing through Snowflake, this role presents significant opportunities to architect, scale, and innovate at high-throuput, low-latency critical database systems.