3 months ago
Toronto, CanadaSenior
Responsibilities
- Drive high-impact initiatives across Snowflake product areas and the full technology stack.
- Own and deliver features across the notebook service, container runtimes, and user interface from ambiguous problem statements through production and post-launch.
- Advance runtime management and patching, environment reproducibility and replication, security and compliance, and notebook observability.
- Extend the product to operate reliably in regulated and air-gapped environments.
- Collaborate with product managers, designers, and platform organizations, and contribute to product vision and team planning.
- Build for scale, reliability, and high performance while participating in the on-call rotation for a Tier-1 production service.
- Mentor and coach junior team members and improve engineering quality through design and code review.
Requirements
- At least 7 years of hands-on software development experience, including significant full-stack software development experience.
- Deep understanding of modern web application architecture, API design patterns, security, performance, and scale.
- Experience with backend services and distributed systems.
- Experience with containers and orchestration, with Docker and Kubernetes familiarity preferred.
- Experience building for regulated, compliance-driven, or air-gapped environments is preferred.
- Knowledge of database internals and SQL is preferred.
- Strong written, verbal, and technical communication skills with a proactive and transparent working style.
- BS or MS in Computer Science or a related major.
Categories
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.