About the team

The Stream Infrastructure team builds and operates Company’s real-time, event-driven platform that powers asynchronous communication between services and high-throughput streaming workloads across the company. We run globally distributed systems with high reliability and performance to meet Company’s scaling, availability, and product needs. The team operates dozens of Apache Kafka clusters with industry-leading reliability and efficiency, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto and remote locations.

• What you’ll do

You’ll partner with other infrastructure engineers, leaders on adjacent teams, as well as product engineers and managers who depend on our platform to define and deliver the next generation of Company’s streaming infrastructure. You’ll help set a long-term technical direction that scales with Company’s growth while enabling reliable, efficient operations for years to come.

• Design, build, and operate event-driven infrastructure, leveraging technologies like Apache Kafka, Temporal, and AWS services
• Collaborate with teams across Company to understand their requirements, unblock adoption, and identify opportunities to improve how streaming infrastructure is used
• Define and implement Kafka operational best practices—such as shuffle sharding, cellular architecture, and load shedding—to improve resilience and reliability at scale
• Drive a shift from “pets” to “cattle”: build automation, standardized workflows, and self-healing systems that reduce manual operations
• Who you are
• We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
• This is a Staff-level role - that typically means 10+ years of experience building, operating, and evolving large-scale production systems
• Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments
• Hands-on experience with big data technologies such as Kafka, Pulsar, Flink, or Pinot
• Comfortable operating with high autonomy and ownership
• Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed
• Strong written and verbal communication skills, including the ability to produce clear technical documentation
• Experience operating streaming technologies as a platform (e.g., Kafka, Pulsar, Flink, Pinot) for internal customers at scale

Experience building or operating control planes for managing large-scale infrastructure