Senior Site Reliability Engineer, Data Infrastructure

Job not on LinkedIn

🔥 22 minutes ago

🌐 Canada, Brazil, +3 more countries – Remote

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⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 11%

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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 • Strengthen production operation of streaming and Kubernetes workloads • Manage infrastructure changes through repeatable, version-controlled practices • Improve scalability and operational efficiency of infrastructure used by engineering teams • Deliver streaming and data infrastructure for CRE, CCIP, Data Feeds and Data Streams • Translate 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 and resolve throughput and recovery bottlenecks • Define service-level indicators reflecting consuming-service experience • Reduce recurring incidents, manual interventions and routine maintenance through automation, actionable alerts, tested recovery procedures and vulnerability remediation • Connect Redpanda topic traffic, Flink processing and BigQuery usage to consuming teams and services • Establish reusable infrastructure modules, deployment workflows and documentation • Enable engineering teams to provision, test, scale and retire AWS and Kubernetes resources independently • Establish visibility into infrastructure consumers, service adoption, reliability, cost and maintenance effort • Overlap some working hours with Eastern Standard Time (EST)

🎯 Requirements

• Demonstrated experience operating large-scale distributed systems and scalable data processing infrastructure in production • Experience managing availability, consistency, failure modes and performance trade-offs • Production experience operating Kafka or Kafka-compatible streaming platforms such as Redpanda • Hands-on experience with capacity planning, performance tuning and troubleshooting • Experience provisioning and managing production infrastructure using Terraform • Experience with version-controlled, reviewed and repeatable infrastructure changes • Experience deploying, operating and troubleshooting production Kubernetes workloads • Experience with resource management, scaling and safe rollouts • Preferred: reusable infrastructure modules, self-service capabilities and CI/CD workflows • Preferred: Apache Flink pipelines in production, including monitoring, failure diagnosis and recovery • Preferred: AWS Aurora/RDS, including provisioning, backup and recovery, failover, rightsizing and cost optimization • Preferred: advanced experience with Apache Flink, Redpanda/Kafka, Iceberg, PostgreSQL, Airflow or Trino • Preferred: production-quality Java and/or Go • Preferred: contributions to open-source infrastructure or data projects • Resume/CV must be submitted in English • Applicants must answer whether they require visa sponsorship in their location • Blockchain/crypto experience is requested in the application form

🏖️ Benefits

• Global and remote-based work arrangement • Opportunity to work on Chainlink infrastructure powering capital markets and decentralized finance • Equal opportunity employer • Disability or special-needs accommodation during application and recruitment • Potential future contact regarding relevant job openings, newsletters, and recruitment-related communications (with consent)

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