Snowflake

Software Engineer - Workspaces

Snowflake
Apply
4 months ago
Bellevue, WA, USAMid Level
H1B Sponsor

Base Salary

$160k - $230k/yr

Responsibilities

  • Build delightful, scalable experiences end-to-end across the technology stack.
  • Use agentic AI to accelerate development with Go, React, and Java.
  • Collaborate with design and product management to build the right product at the right cost.
  • Contribute to product vision and drive team planning.
  • Iterate quickly, ship frequently, and experiment continuously while influencing and supporting teammates.

Requirements

  • At least 3 years of hands-on software development experience, including significant full-stack development with responsive design.
  • Deep understanding of modern web application architecture, API design patterns, security, performance, and scale.
  • Strong technical leadership, autonomy, cross-team collaboration, and written, verbal, and technical communication skills.
  • Experience shipping mobile experiences leveraging AI, and knowledge of data development tools, data infrastructure, or ML, are preferred or advantageous.

Tech Stack

GoJavaReactSnowflake

Categories

Snowflake

About Snowflake

5,001-10,000 employees

**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.