- 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- Provisioned and managed production infrastructure using Terraform, with version-controlled, reviewed and repeatable infrastructure changes

- Experience deploying, operating and troubleshooting production Kubernetes workloads, including resource management, scaling and protected rollouts

- Demonstrated experience operating large-scale distributed systems and scalable data processing infrastructure in production, including managing availability, consistency, failure modes and performance trade-offs

- Operated Kafka or Kafka-compatible streaming platforms such as Redpanda in production, with hands-on experience in capacity planning, performance tuning and troubleshooting

- Built reusable infrastructure modules, self-service capabilities and CI/CD workflows that enable engineering teams to deploy and operate services independently

- Experience building and operating Apache Flink pipelines in production, including monitoring, diagnosing failures and managing recovery

- Operated AWS Aurora/RDS in production, including provisioning, backup and recovery, failover, rightsizing and cost optimization

- Advanced experience with 1 or more of Apache Flink, Redpanda/Kafka, Iceberg, PostgreSQL, Airflow or Trino, demonstrated through work with system internals, complex troubleshooting or performance optimization

- Experience reading, debugging and writing production-quality code in Java and/or Go

- Contributions to open-source infrastructure or data projects through code, tooling, documentation or actionable bug reports

📌 Senior Site Reliability Engineer (Data Infrastructure) (Canada)
🏢 Chainlink Labs
📍 Canada