C
Chainlink Labs
Senior Site Reliability Engineer (Data Infrastructure)
Skills
GolangJavaPostgreSQLKafkaAWSKubernetesApache AirflowTerraform
3 days ago
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Important information
Contract type:
Permanent
Location:
Canada
Work mode:
Onsite
Published on:
18 October 2026
What they need
- 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 safe 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
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