Senior Infrastructure Engineer, Streaming Compute

Shopify

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Remote

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Remote
Location
Remote
Posted
1 day ago
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Confirmed live today

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About Shopify

Shopify is a leading global commerce platform that enables businesses of all sizes to start, grow, and manage their retail operations online and in-person. It provides tools for storefronts, payments, shipping, and marketing to millions of merchants worldwide.

Shopify currently has 18 open roles on FindRole.

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TL;DR · Senior Infrastructure Engineer, Streaming Compute

The Senior Infrastructure Engineer - Streaming Compute joins the Streaming Compute team to manage the platform powering large-scale data processing using Apache Flink. This role involves building and operating distributed systems to support streaming and batch data pipelines for business-critical use cases like recommendations, catalog, and analytics workloads. You will develop developer tooling, scale infrastructure, build control planes, and contribute to the Flink open source ecosystem. Key responsibilities include shipping high-quality code, navigating ambiguous technical problems, and participating in a 24/7 on-call rotation. Required technical skills include experience with Java, Rust, Go, and/or Ruby, along with familiarity with Kubernetes, distributed systems, and data-intensive systems such as Kafka, Iceberg, and BigQuery. You will focus on improving performance, stability, and cost-efficiency across the full platform stack.

What you'll do

  • Build and maintain the infrastructure and tooling for large-scale data processing using Apache Flink.
  • Develop and ship high-quality code to enhance developer tooling and scale infrastructure.
  • Build and manage control planes for streaming and batch data pipelines.
  • Contribute to the Flink open source ecosystem and related projects.
  • Work directly with platform users to ensure success and inform the team roadmap.
  • Strengthen the resiliency of the platform through proactive maintenance and 24/7 on-call rotation.
  • Prototype solutions and navigate ambiguous technical problems to improve system performance and stability.

What we're looking for

  • 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.
  • Prior experience working with Apache Flink and/or a track record of contributing to its open source projects (preferred).
  • Ability to reflexively use AI to accelerate and improve daily work.
  • Ability to join a 24/7 on-call rotation to maintain platform resiliency.

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