Senior Infrastructure Engineer - Streaming Compute (Americas)

About the role About the role 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, and 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. You'll 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. You’ll navigate ambiguous technical problems together with the team: prototyping solutions, taking calculated risks, and building momentum when the path forward isn't fully clear. What you'll do Champion and contribute to projects across the full platform stack. This includes enhancing developer tooling, scaling infrastructure, building control planes, and contributing to the Flink open source ecosystem. Ship high-quality code and raise the team’s technical bar. Collaborate extensively with platform users to ensure their success, as well as contributing to the roadmap of the team. Join the 24/7 on-call rotation the resiliency of our platform What you'll bring (we don’t expect you to have done all of this): 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. Have demonstrated experience in Java, Rust, Go, and/or ruby. Have familiarity, as a user or maintainer, with data intensive systems, such as Kafka, Iceberg, and/or BigQuery. 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. About Shopify Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries. This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option. About you Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone. Before you apply, consider if you can: Care deeply about what you do and about making commerce better for everyone Excel by seeking professional and personal hypergrowth Keep up with an unrelenting pace (the week, not the quarter) Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change Bring critical thought and opinion Put AI agents and tools to work on the tasks they're built for, and focus on the work only humans can do Embrace differences and disagreement to get shit done and move forward Work digital-first for your daily work We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.