Data Platform Engineer

Join our team as a Data Platform Engineer, where you will be responsible for the reliability and operational performance of large-scale distributed systems and data infrastructure. You will strengthen the production operation of streaming and Kubernetes workloads, improve scalability and operational efficiency, and enable critical product initiatives to launch on time. Your expertise in technologies such as Apache Flink, Redpanda/Kafka, and AWS will be essential in this role.

Experience using Terraform to provision and manage production infrastructure through version-controlled, reviewed, and repeatable changes

About Chainlink Labs

Assurer la fiabilité et la performance opérationnelle des systèmes distribués à grande échelle et de l'infrastructure de données.

Responsibilities

• Améliorer l'évolutivité et l'efficacité opérationnelle de l'infrastructure sur laquelle les équipes d'ingénierie dépendent.
• Établir des modules d'infrastructure réutilisables, des flux de travail de déploiement et de la documentation qui permettent aux équipes d'ingénierie de provisionner, tester, mettre à l'échelle et retirer les ressources AWS et Kubernetes de manière indépendante.
• Deep expertise in one or more of the following technologies: Apache Flink, Redpanda/Kafka, Iceberg, PostgreSQL, Airflow, or Trino, including system internals, complex troubleshooting, or performance optimization
• Experience deploying, operating, and troubleshooting production Kubernetes workloads, including resource management, scaling, and safe rollouts
• Experience building and operating Apache Flink pipelines in production, including monitoring, diagnosing failures, and managing recovery
• Hands-on experience operating AWS Aurora/RDS in production, including provisioning, backup and recovery, failover, rightsizing, and cost optimization

Requirements

• Proven experience operating large-scale distributed systems, streaming platforms and data processing infrastructure, with a strong understanding of availability, consistency, failure modes, and performance trade-offs
• Experience building reusable infrastructure modules, self-service capabilities, and CI/CD workflows that enable engineering teams to deploy and operate services independently
• Hands-on experience operating Kafka or Kafka-compatible platforms such as Redpanda in production, including capacity planning, performance tuning, and troubleshooting
• Proficiency in 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