Senior Infra Engineer - Events Platform

About the role
The Identity & Events Platform team sits at the heart of how Shopify moves data. The Event Refinery sub-team is building the next-generation event processing platform that will replace Shopify's legacy eventing infrastructure, becoming the central hub through which all merchant, buyer, and third-party event data flows.

The systems this team builds power personalization, recommendations, advertising, internal and external analytics, partner data sharing, and automations. The team is now scaling from roughly 10 billion events per day toward hundreds of billions as Shopify migrates teams onto the new platform. That is the problem you would be joining to help solve.

What You'll Work On
Design, build, and operate high-throughput streaming pipelines that process behavioral event data at massive scale

Ensure compliance and correctness in how event data is enriched, routed, and made available to downstream consumers

Improve pipeline reliability and observability including latency, memory optimization, Kafka throughput, and operational health

Collaborate with downstream teams (i.e. personalization, analytics, advertising, etc) to evolve the platform to meet their data needs

Participate in on-call rotations and own the operational health of production systems

What We're Looking For
Requirements:

Proven experience building and operating high-throughput data processing systems in production at meaningful scale

Proficiency in Java or a similar JVM/statically-typed language (Kotlin, Scala, Go, Rust) — our streaming pipelines are written in Java and you should be comfortable working in it or ramping up quickly.

Hands-on experience with Apache Flink or a comparable stream processing framework (Dataflow, Spark Streaming)

Working knowledge of Apache Kafka including producing, consuming, tuning throughput, and understanding operational behavior under load

Operational mindset — you have been on-call, you think about latency and memory, and you know how to run a production system, not just write code for one

Kubernetes familiarity in a production context — running workloads and owning their reliability

Strong signals we look for:

Experience with behavioral, or event data pipelines rather than transactional or reporting-focused data

Observability work including metrics, alerting, tracing, and reducing noise in production systems

Latency optimization and compression work on streaming or storage systems

Complex pipeline work such as aggregations, rollups, and enrichment beyond simple data-in/data-out

Nice to have:

Interest in data privacy and compliance at the processing layer: how to correctly aggregate, route, and act on data given consent and governance signals

Experience at companies or platforms that treat behavioral data as a core product

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