[Hiring] Senior Infrastructure Engineer @Shopify

Role Description

The Streaming Compute team owns the platform that powers large-scale data processing at Shopify with Apache Flink. We provide the infrastructure and tooling that lets teams across the company build, deploy, and operate streaming and batch data pipelines reliably and efficiently. Our platform powers business critical use cases, such as recommendations, catalog, as well as analytics workloads.

Our work spans the end to end ecosystem:

• Making pipeline development fast and self-serve
• Improving performance and stability of the underlying compute engine
• Keeping the platform cost-efficient as it scales

In this role, you'll work on distributed systems and developer experience, making powerful data processing simple and dependable for every engineer at Shopify. This role combines development and operations:

• Build and run the systems you work on
• Lead complex features to production
• Work directly with users
• Strengthen the resiliency of the systems you own
• Work with vendor and open source teams
• Navigate ambiguous technical problems together with the team
• Prototype solutions and take calculated risks
• Build momentum when the path forward isn't fully clear

Qualifications

• Reflexively use AI to accelerate and improve your daily work
• Prior experience working with Apache Flink and/or a track record of contributing to its open source projects in the domain is a major plus
• Familiarity with Kubernetes and distributed systems
• Demonstrated experience in Java, Rust, Go, and/or Ruby
• Familiarity, as a user or maintainer, with data intensive systems, such as Kafka, Iceberg, and/or BigQuery

Requirements

• Join the 24/7 on-call rotation for the resiliency of our platform

Company Description

At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you're ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a live pair programming session, come prepared with your own IDE.