14 hours ago
Bellevue, WA, USAMid Level / Senior
H1B sponsor
Base Salary
$160k - $230k/yr
Responsibilities
- Design and ship core multi-tenant platform capabilities for scheduling, durable queues, ownership, placement, source monitoring, and compute allocation.
- Build primitives for isolation and fairness, including quotas, backpressure, resource accounting, and intelligent placement.
- Improve availability, latency, observability, and operational automation for ingestion pipelines, APIs, and compute allocation.
- Create shared interfaces for product teams to express pipelines and processing steps.
- Scale the control plane for more concurrent pipelines, higher ingest volume, and efficient compute and metadata usage.
- Participate in production support and mentor junior engineers.
Requirements
- 3–6+ years building and operating large-scale distributed systems or cloud infrastructure in production.
- End-to-end ownership of ambiguous, cross-cutting technical problems from design through production.
- Strong proficiency in Java; C++ or systems-level experience is a plus.
- Experience with multi-tenant control planes, durable queues and at-least-once processing, distributed locking, leases, membership, cluster scheduling, or streaming and ingestion execution engines.
- Understanding of correctness under failure, including crashes, retries, redelivery, and exclusive ownership.
- Clear written and verbal communication skills for technical design and cross-team collaboration.
- BS, MS, or PhD in Computer Science or Computer Engineering, or equivalent practical experience.
- Preferred experience with internal platforms, multi-tenant isolation and fairness, transactional or consensus-backed metadata stores such as etcd, ZooKeeper, or Spanner-style systems, open table formats, Kafka-style streaming, warehouse scheduling, and performance optimization at scale.
- Experience using AI as an engineering collaborator for design review, debugging, or test generation is a bonus.
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.