3 months ago
Base Salary
$200k - $288k/yr
Responsibilities
- Design and develop product features that address customer requirements and business goals.
- Lead and mentor a team of engineers and establish technical direction and strategy for large, critical product areas.
- Manage project activities including design, coding, reviews, testing, observability, tooling, and on-call support.
- Build highly reliable and fault-tolerant software for large customers.
- Ensure operational readiness and maintainability with emphasis on reliability, availability, debuggability, and performance.
- Design and build Kubernetes-based, OCI-compliant container compute platform features that scale with customer and business needs.
Requirements
- At least 7 years of industry experience building features and capabilities for large-scale systems or infrastructure-level platforms.
- Strong fundamental computer science skills and experience building distributed systems.
- Hands-on coding experience in Java, C++, or Go is highly desirable.
- Experience building products or services with Kubernetes is a bonus.
- Experience designing products and features with multi-cloud support across AWS, Azure, and GCP is a bonus.
- Experience implementing multi-tenant systems with an emphasis on performance, isolation, and security is a bonus.
- Ability and willingness to work on-site in the downtown Bellevue office.
- Passion for learning, collaboration, cross-functional work, and knowledge sharing.
Benefits
- On-site work in the downtown Bellevue office is required.
- Snowflake emphasizes transparency, knowledge sharing, team events, and collaborative support.
Tech Stack
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.