Design, build, and operate a robust logging platform, ensuring reliable logging, and secure data transfer to a wide array of customer destinations and third-party integrations.
Develop and maintain high-performance data connectors and integrations for our log-shipping products, focusing on usability, scalability and data integrity.
Create and manage systems for handling comprehensive audit logs, ensuring they are delivered securely and adhere to strict compliance and performance standards.
Scale and optimise the data delivery pipeline to handle massive data volumes with low latency, identifying and removing bottlenecks in data processing and routing.
Work closely with Product and other engineering teams to define requirements for a new logging platform and integrations.
Maintain the operational health of our log delivery platform through comprehensive monitoring and participation in an on-call rotation (with flexibility for out-of-hours technical issue resolution).
Collaborate on the architectural evolution of our data egress platform, researching and implementing new technologies to improve efficiency and reliability.
Requirements
3+ years of experience working in software development covering distributed systems and data pipelines.
Strong programming skills (Go is preferable), with a deep understanding of software development best practices for building resilient, high-throughput systems.
Hands-on experience with modern observability stacks, including Prometheus, Grafana, and a strong understanding of handling high-cardinality metrics at scale.
Strong knowledge of SQL, including experience with query optimisation.
A solid foundation in computer science, including algorithms, data structures, distributed systems, and concurrency.
Strong analytical and problem-solving skills, with a willingness to debug, troubleshoot, and learn about complex problems at high scale.
Ability to work collaboratively in a team environment and communicate effectively with other teams across Cloudflare.
Experience with data streaming technologies (e.g., Kafka, Flink) is a strong plus.
Experience with various logging platforms or SIEMs (e.g., Splunk, Datadog, Sumo Logic) and storage destinations (e.g., S3, R2, GCS) is a plus.
Experience with Infrastructure as Code tools like SALT or Terraform is a plus.
Experience with Linux container technologies, such as Docker and Kubernetes, is a plus.
Benefits
Competitive salary
Flexible work arrangements
Professional development opportunities
Paid time off
Job title
Distributed Systems Engineer – Data Platform, Logs and Audit Logs
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