Senior Site Reliability Engineer, Data Infrastructure — Chainlink Labs

Company:  Chainlink Labs

Location:

Canada
Sector:  Crypto Perp
Source:  web
3.career
About Chainlink
Chainlink is the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance (DeFi). The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, lending, payments, stable coins, and more. Since inventing decentralized oracle networks, Chainlink has enabled tens of trillions in transaction value and now secures the vast majority of DeFi.
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, Wisdom Tree, ANZ, and top protocols such as Aave, Lido, GMX and many others. Chainlink leverages a novel fee model where offchain and onchain revenue from enterprise adoption is converted to LINK tokens and stored in a strategic Chainlink Reserve.

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About the Role   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.
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.
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 Big Query 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.
Requirements   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.
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.
Preferred Requirements   Built reusable infrastructure modules, self-service capabilities and CI/CD workflows that enable engineering teams to deploy and…