Distributed Systems Engineer (Data Platform)

TL;DR

Distributed Systems Engineer (Go/Data Platform): Designing and operating a high-performance logging platform for reliable data transfer to customer destinations with an accent on scalability, data integrity, and low-latency pipelines. Focus on building robust data connectors, managing audit logs for compliance, and optimizing the egress platform to handle billion-event-per-second scales.

Location: Hybrid: Must be based in Austin, US

Company

A global leader in internet infrastructure, protecting and accelerating millions of websites through one of the world's largest networks.

What you will do

• Design and operate a robust logging platform for secure data transfer to customer and third-party integrations.
• Develop high-performance data connectors focusing on scalability, usability, and data integrity.
• Manage systems for comprehensive audit logs ensuring strict compliance and performance standards.
• Optimize the data delivery pipeline to remove bottlenecks and handle massive volumes with low latency.
• Collaborate with Product and engineering teams to define requirements for new logging features.
• Ensure operational health through monitoring and participation in an on-call rotation.

Requirements

• 3+ years of experience in software development for distributed systems and data pipelines.
• Proficiency in Go (preferable) and a deep understanding of resilient, high-throughput systems.
• Experience with observability stacks including Prometheus and Grafana.
• Strong SQL knowledge and experience with query optimization.
• Solid foundation in algorithms, data structures, distributed systems, and concurrency.
• Location: Must be based in Austin, US (Hybrid)

Nice to have

• Experience with data streaming technologies like Kafka or Flink.
• Familiarity with logging platforms/SIEMs (Splunk, Datadog, Sumo Logic) and cloud storage (S3, R2, GCS).
• Experience with Infrastructure as Code tools such as SALT or Terraform.
• Knowledge of Linux container technologies including Docker and Kubernetes.

Culture & Benefits

• Mission-driven environment focused on protecting the free and open Internet.
• Culture of iteration and AI-native curiosity, valuing problem-solving over bureaucracy.
• Opportunity to work on massive scale infrastructure processing over a billion events per second.
• Socially responsible initiatives including Project Galileo and the Athenian Project.