Data Platform Engineer

About Chainlink Labs

Chainlink Labs is one of the primary contributing developers of Chainlink, the standard for onchain finance enabling high-quality data, secure cross-chain interoperability, and compliant connectivity across global markets. Chainlink powers leading tokenized assets, financial institutions, market infrastructures, and decentralized applications by providing secure access to real-world data, cross-chain messaging, and blockchain connectivity across any network. The Chainlink standard has enabled tens of trillions of dollars in transaction value and is helping unify global markets onchain. Many of the world’s largest financial services institutions have also adopted Chainlink’s standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, S&P Dow Jones Indices, FTSE Russell, WisdomTree, ANZ, Aave, Polymarket, Lido, and many others.

Chainlink Labs is a world-class team of developers, researchers, and capital markets experts, and has ranked among Fortune's Best Workplaces in Technology, Fortune's Best Medium Workplace, and the Top 100 Global Most Loved Workplaces. Learn more at chain.link or chainlinklabs.com.

About the Role

The Data Platform 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.

Your Impact

• 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

• Help 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.

• Make infrastructure self-service and safe throughout its lifecycle. Build reusable Terraform modules, deployment workflows and documentation that let teams provision, test, scale and retire AWS and Kubernetes resources independently.

• Use service adoption and consumer needs to guide improvements. Identify who consumes each infrastructure service and which product outcomes depend on it.

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.

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

Preferred Requirements

• 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.

• 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.

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

Chainlink Labs is a remote-first organization and employment eligibility is contingent upon residing in an approved hiring jurisdiction. Team members may work outside their primary country of legal residence for a maximum of 90 days per calendar year. Please discuss your current location, legal residence, and work authorization with your recruiter during your initial conversation. Unless otherwise stated for a specific role, we require working hours that overlap with Eastern Time (ET).

We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date.

Commitment to Equal Opportunity

Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this form.

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