Build dependable data infrastructure at Shopify using Apache Flink, distributed systems expertise, and a robust focus on developer experience.

This Staff Engineer role advances the platform behind streaming and batch pipelines for recommendations, catalog, analytics, and core products. You will make pipeline development more self-serve while improving the underlying compute engine’s performance, stability, and operating efficiency. The work combines engine-level problem solving with technical leadership across teams.

Key Responsibilities

Make pipeline development fast, simple, and self-serve

Improve Apache Flink performance, stability, and operating efficiency

Build platforms that engineers can use effectively





Lead technical direction and mentor senior engineers

Participate in the 24/7 on-call rotation

Requirements

Expertise in Apache Flink internals and production operations

Understanding of stream and batch processing semantics

Knowledge of storage, table formats, and resource management

Experience running data infrastructure on Kubernetes

Pragmatic judgment about tuning, rewriting, and upstreaming

Apply distributed systems expertise and Flink knowledge to improve Shopify’s reliable, efficient data processing platform.

📌 Staff Distributed Systems Engineer Flink (Winnipeg)
🏢 Shopify
📍 Winnipeg