Senior Site Reliability Engineer, Data Infrastructure

Skillhub Solutions Inc.; Canada; Remote; CAD 130,000 - 180,000; Full time

Job summary

Chainlink Labs is seeking a Senior Site Reliability Engineer to own the reliability of large-scale data infrastructure and streaming systems. The role focuses on production streaming, Kubernetes workloads, and scalable infrastructure practices.

You will automate repeatable processes, define service level indicators, and improve operational efficiency across AWS and Kubernetes environments. This is a remote Canada role requiring overlap with EST when possible.

Qualifications

• Experience operating large-scale distributed systems in production.
• Production experience with Kafka/Redpanda and capacity planning.
• Experience provisioning and managing production infra with Terraform and version-controlled changes.
• Experience deploying and troubleshooting production Kubernetes workloads.

Responsibilities

• Deliver streaming and data infrastructure for product initiatives (Redpanda/Kafka, Flink).
• Scale streaming and Kubernetes workloads and define SLI/SLO metrics.
• Reduce incidents via automation, alerts, recovery procedures, and vulnerability remediation.
• Link Redpanda topics, Flink, and BigQuery usage to teams to improve cost accountability.
• Build reusable infrastructure modules and deployment workflows for AWS and Kubernetes.

Skills

Distributed systems

Kubernetes

Terraform

Data streaming

Go/Java

Tools

Kafka/Redpanda

Flink

BigQuery

AWS

Job description

Senior Site Reliability Engineer, Data Infrastructure

Chainlink Labs

Remote - Canada Full-time Salary not specified

About Chainlink

Chainlink is an oracle platform supporting decentralized finance and institutional blockchain use cases. Its infrastructure provides data, interoperability, compliance and privacy standards.

About the role

The Senior Site Reliability Engineer will own the reliability and operational performance of large-scale distributed systems and data infrastructure. The role focuses on production streaming and Kubernetes workloads, repeatable infrastructure practices, scalability and operational efficiency.

Responsibilities

• Deliver streaming and data infrastructure for product initiatives, including Redpanda/Kafka and Flink capabilities.
• Scale streaming and Kubernetes workloads, address 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 vulnerability remediation.
• Connect Redpanda topic traffic, Flink processing and BigQuery usage to consuming teams and services to improve cost accountability.
• Build reusable infrastructure modules, deployment workflows and documentation for teams to provision and operate AWS and Kubernetes resources.
• Improve visibility into infrastructure consumers, service adoption, reliability, costs and maintenance effort.

Requirements

• Experience operating large-scale distributed systems and scalable data processing infrastructure in production.
• Production experience with Kafka or compatible streaming platforms such as Redpanda, including capacity planning, performance tuning and troubleshooting.
• Experience provisioning and managing production infrastructure with Terraform and repeatable, reviewed, version-controlled changes.
• Experience deploying, operating and troubleshooting production Kubernetes workloads.

Preferred qualifications

• Experience building reusable infrastructure modules, self-service capabilities and CI/CD workflows.
• Production experience operating Apache Flink pipelines and managing monitoring, failures and recovery.
• Production experience with AWS Aurora/RDS, including provisioning, backups, recovery, failover, rightsizing and cost optimization.
• Advanced experience with one or more of Apache Flink, Redpanda/Kafka, Iceberg, PostgreSQL, Airflow or Trino.
• Experience debugging and writing production-quality Java and/or Go code.
• Contributions to open-source infrastructure or data projects.

Work arrangement

Chainlink Labs roles are global and remote-based. Employees are asked to overlap some working hours with Eastern Standard Time where possible.