Senior Software Engineer
Snowflake
Senior Software Engineer
Snowflake
Runs a cloud platform for business data and AI
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.
Location: Menlo Park, CA
Work Authorization: US Citizenship or Lawful Permanent Resident (Green Card holder) required due to compliance requirements.
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.
Architect & Scale: Lead the technical vision, design, and implementation of database products to suit internal needs.
Drive Multi-Cloud Strategy: Create elegant, cloud-agnostic abstractions and software infrastructure across AWS, Azure, and GCP to ensure seamless management and rapid feature delivery.
Technical Leadership: Drive complex, cross-functional engineering initiatives from inception to production, mentoring junior and mid-level engineers, and establishing software engineering best practices.
Ensure High Availability & Security: Continuously harden our database infrastructure meet SLAs around uptime, security, and durability.
Production Excellence: Participate in an on-call rotation, lead incident investigations for complex production issues, and direct blameless post-mortems to drive permanent systemic improvements.
Collaborate Across Teams: Partner closely with Security, Infrastructure, and Site Reliability Engineering (SRE) teams to support new product capabilities at scale.
Work Authorization: Must be a US Citizen or Permanent Resident (Green Card holder).
Education: BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field (or equivalent professional experience).
Experience: 7–12 years of professional experience designing, building, operating, and scaling large-scale backend distributed systems in high-growth production environments.
Core Systems Knowledge: Understanding of databases (PostgreSQL, Redis) and experience running large-scale distributed systems.
Advanced Programming Proficiency: Strong hands-on coding experience in systems and application languages such as Go, Java, C++, or Rust.
Public Cloud Mastery: Extensive experience architecting infrastructure on major public clouds (AWS, GCP, or Azure), including cloud networking constructs (e.g., VPC peering, PrivateLink, Transit Gateways).
Infrastructure as Code & Automation: Proficient in automating global fleet deployment and configuration using tools like Terraform, Kubernetes, Ansible, or CloudFormation.
Leadership & Influence: Proven track record of technical ownership, breaking down ambiguous problems into concrete roadmaps, and delivering high-impact projects across multiple engineering teams.
We value a strong growth mindset and a collaborative, blameless engineering culture. If you thrive on solving complex platform engineering challenges at massive scale, we would love to hear from you.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.
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