Responsibilities
- Develop and refine workflows critical to Snowflake’s business.
- Design metrics and experiments to validate insights.
- Implement projects spanning the technology stack, including TypeScript services hosted in Snowflake and Kubernetes.
- Collaborate with product management, design, and partner teams to deliver features.
- Participate in product vision definition and team planning.
- Identify problems, instrument relevant components, and implement solutions.
Requirements
- Bachelor’s or master’s degree in computer science or an equivalent discipline, or equivalent experience.
- At least 2 years of hands-on software engineering experience.
- At least 2 years of experience maintaining a production system.
- Interest in state-of-the-art LLM-based solutions.
- Experience with modern application design architecture, API design patterns, performance, and scale.
- Experience with TypeScript, React, Node, and Express.
- Knowledge of software engineering best practices including unit testing, code reviews, and design documentation.
- Strong debugging and troubleshooting skills, particularly in cloud environments.
- Strong verbal and written communication skills and interest in working with diverse peers and external developers.
Tech Stack
Categories
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.