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Data Platform Engineer

Job not on LinkedIn

🕒 October 12

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Chainlink Labs's careers page, not through a job board

First seen by Remote Rocketship October 12

Still open on Chainlink Labs's site. Checked 1 hour ago.

Logo of Chainlink Labs

Chainlink Labs

201 - 500 employees

Founded 2017

💸 Finance

💳 Fintech

🌐 Web 3

Finance • Fintech • Web 3

Chainlink Labs is a leading player in the field of decentralized finance (DeFi) and blockchain technology. The company is pioneering the use of decentralized systems to facilitate onchain transactions for financial institutions and marketplaces. By collaborating with financial market infrastructures, asset managers, and top DeFi protocols, Chainlink Labs is driving the transition to a tokenized asset economy and aims to become the global standard for onchain finance. With expertise in cryptography and a robust track record in security, Chainlink Labs provides a platform that powers a global system of onchain finance.

📋 Description

• Own the reliability and operational performance of large-scale distributed systems and data infrastructure. • Enable critical product initiatives by delivering streaming and data infrastructure for CRE, CCIP, Data Feeds, and Data Streams. • Maintain 99.9% availability for critical data infrastructure as usage grows. • Scale streaming and Kubernetes workloads, resolve throughput and recovery bottlenecks, and define service-level indicators. • Reduce recurring incidents, manual interventions, and routine maintenance through automation, actionable alerts, tested recovery procedures, and repeatable vulnerability remediation. • Connect Redpanda topic traffic, Flink processing, and BigQuery usage to consuming teams and services. • Build reusable Terraform modules, deployment workflows, and documentation for self-service provisioning, testing, scaling, and retirement of AWS and Kubernetes resources. • Identify infrastructure service consumers and product outcomes dependent on those services.

🎯 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: 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. • 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. • Submit your CV/resume in English. • Visa sponsorship may be required depending on location.

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