Cloudflare
Distributed Systems Engineer- Data Platform- Logs and Audit Logs
Rol remoto de Engineering con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles1 país aceptado
Señal de seniorityNivel abierto
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Distributed Systems Engineer- Data Platform- Logs and Audit Logs
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Details
- Data Delivery / Data Pipeline: This team is responsible for the design, development, and operation of our distributed data delivery pipeline. This system is a high-throughput, low-latency powerhouse, primarily written in Go, and is tasked with ingesting, processing, and intelligently routing massive volumes of data originating from across Cloudflare’s vast global network to multiple core destinations. This involves handling diverse data types and ensuring reliable, timely delivery to various downstream systems.
- Analytical Database Platform: Engineers on this team contribute to and evolve our core analytical platform, which is powered by ClickHouse. This team is dedicated to building and maintaining a high-performance, scalable database platform meticulously optimised for the immense analytical workloads generated by all of Cloudflare’s products and services. This includes ensuring data integrity, query optimisation, and continuous platform scalability to meet ever-growing demands.
- Data Retrieval (Customer-Facing Products): This department is focused on building and continuously improving our customer-facing products, making data not only accessible but also genuinely actionable for our users. This department comprises two main groups:
- Analytics and Alerts: Members of this group are at the forefront of developing our public APIs such as the GraphQL Analytics API, providing customers and internal Cloudflare teams with flexible access to their data. They will also work on our alerting platform, empowering users to configure and receive near real-time alerts based on the critical logs and metrics observed by our robust data platform. This includes designing intuitive alerting mechanisms and ensuring the reliability of notification systems.
- Logs and Audit Logs: This specialised team is dedicated to building a robust and easy-to-use logging platform that powers reliable data delivery and seamless integrations with customer destinations. The team’s mission is to make it simple for customers to access, manage, and use their log data — ensuring that critical datasets, including comprehensive audit logs, are delivered securely and efficiently to their preferred storage and analysis platforms. The work spans developing intuitive connectors, ensuring data integrity, optimising delivery pipelines, and upholding strict standards for compliance, performance, and usability.
- Analytics and Alerts: Members of this group are at the forefront of developing our public APIs such as the GraphQL Analytics API, providing customers and internal Cloudflare teams with flexible access to their data. They will also work on our alerting platform, empowering users to configure and receive near real-time alerts based on the critical logs and metrics observed by our robust data platform. This includes designing intuitive alerting mechanisms and ensuring the reliability of notification systems.
- Logs and Audit Logs: This specialised team is dedicated to building a robust and easy-to-use logging platform that powers reliable data delivery and seamless integrations with customer destinations. The team’s mission is to make it simple for customers to access, manage, and use their log data — ensuring that critical datasets, including comprehensive audit logs, are delivered securely and efficiently to their preferred storage and analysis platforms. The work spans developing intuitive connectors, ensuring data integrity, optimising delivery pipelines, and upholding strict standards for compliance, performance, and usability.
Responsibilities
- 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.
Key Qualifications
- 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.
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