Software Engineer - Ingestion Execution Platform

US-WA-Bellevue · 3-6 years experience · Full-time · Posted Oct 14, 2026

At a glance

Snowflake is seeking a Software Engineer for the Ingestion Execution Platform to build the always-on engine behind Snowflake ingestion.
You will own substantial platform work end-to-end, taking hard distributed-systems problems from design through production.
This platform sits on the critical path for production ingest, multiplying reliability, fairness, and efficiency across ingestion products.

Design and ship core platform capabilities across areas such as multi-tenant isolation, fair scheduling, ownership and placement, durable queues, source monitoring, or compute allocation from design through production.
Strengthen isolation and fairness by building and evolving primitives like quotas, backpressure, resource accounting, and intelligent placement.
Raise reliability and observability by improving availability and latency for pipeline health, ingest APIs, and compute allocation, and instrumenting the system.
Build a clean platform surface to give product teams a consistent way to express pipelines and processing steps.
Scale the control plane to support more concurrent pipelines, higher ingest volume, and efficient use of compute and metadata as customer usage grows.
Operate what you ship by participating in production support, improving observability, and automating operational work.
Mentor junior engineers and work closely with engineers on larger platform bets.

3–6+ years building and operating large-scale distributed systems or cloud infrastructure in production.
Track record of end-to-end ownership taking an ambiguous, cross-cutting problem from design to production.
Strong proficiency in Java.
Experience in at least one of: multi-tenant control planes, durable queues and at-least-once processing, distributed locking / leases / membership, cluster scheduling, or streaming/ingest execution engines.
Instinct for correctness under failure, thinking carefully about crashes, retries, redelivery, and exclusive ownership.
Clear written and verbal communication skills.
BS, MS, or PhD in Computer Science, Computer Engineering, or equivalent practical experience.

C++ or systems-level experience
Experience building internal platforms used by multiple product teams (orchestration, job/runtime frameworks, multi-tenant schedulers)
Background in multi-tenant isolation and fairness: resource accounting, request throttling, quota systems, or load-aware placement
Hands-on with transactional or consensus-backed metadata stores (for example etcd, ZooKeeper, or Spanner-style systems)
Familiarity with open table formats (Apache Iceberg, Delta Lake), Kafka-style streaming, or warehouse scheduling
Performance work at scale: tail latency, memory and thread accounting, I/O batching, or cost-per-unit efficiency
Experience using AI as a serious engineering collaborator (design review, debugging, test generation)