Distributed Systems Engineer - Data Platform - Logs and Audit Logs

Cloudflare•San Francisco, CA

About The Position

We are actively seeking experienced and highly motivated Distributed Systems Engineers to join Cloudflare’s dynamic DATA Organisation. This is a pivotal opportunity to contribute to the future of data at Cloudflare, working on systems that are fundamental to our global operations and customer insights. Our organisation is responsible for the entire data lifecycle, encompassing everything from initial ingestion and sophisticated processing to robust storage and efficient retrieval. These systems are the backbone that power critical logs and analytics, providing our customers with real-time, actionable visibility into the health, performance, and security of their online properties. Our overarching mission is to empower customers to leverage their data effectively, enabling them to drive superior outcomes for their businesses. To achieve this, we design, build, and maintain a suite of high-performance, massively scalable distributed systems that are engineered to handle an unprecedented scale – processing well over a billion events per second. As an engineer within our organisation, you will be presented with unique challenges across various critical parts of our intricate data stack. This role offers the chance to work on cutting-edge technologies and contribute to solutions that operate at the very edge of internet infrastructure. Our Data Organisation is strategically composed of several key teams, each focusing on a distinct aspect of our comprehensive data platform: 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: 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. This particular role is focused on the Logs and Audit Logs group.

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.

Nice To Haves

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.

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.

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