Senior Site Reliability Engineer, Data Infrastructure

The Senior Site Reliability Engineer will own the reliability and operational performance of large-scale distributed systems and data infrastructure. This role will strengthen the production operation of streaming and Kubernetes workloads while ensuring infrastructure changes are managed through repeatable, version-controlled practices. The role will also improve the scalability and operational efficiency of the infrastructure that engineering teams depend on.

Enable critical product initiatives to launch on time. Deliver the streaming and data infrastructure required by CRE, CCIP, Data Feeds and Data Streams, translating product requirements into reliable Redpanda/Kafka and Flink capabilities.

Maintain 99.9% availability for critical data infrastructure as usage grows. Scale streaming and Kubernetes workloads, resolve throughput and recovery bottlenecks, and define SLIs that reflect the experience of consuming services.

Keep operational maintenance below 20% of team capacity. Reduce recurring incidents, manual interventions and routine maintenance through automation, actionable alerts, tested recovery procedures and repeatable vulnerability remediation.

Reduce cost to serve and make consumption accountable. Connect Redpanda topic traffic, Flink processing and BigQuery usage to the teams and services consuming them.

Increase infrastructure self-service and operational safety. Establish reusable infrastructure modules, deployment workflows and documentation that enable engineering teams to provision, test, scale and retire AWS and Kubernetes resources independently.

Use service adoption and consumer needs to guide infrastructure improvements. Establish visibility into infrastructure consumers, service adoption, reliability, cost and maintenance effort.

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