Threat Intelligence Software Engineer, Cloudforce OneActive

Cloudflare
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The opportunity

Cloudforce One is Cloudflare’s threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state sponsored advanced persistent threats (APTs). Cloudforce One works in close…

What you'll do

  • While the majority of our services are now written in Golang and TypeScript,: you will also work with technologies such as Rust, Kafka, Redis, Kubernetes, Terraform, Temporal and PostgresSQL. We also pride ourselves in dogfooding our own products and services so you will be extensively working with Cloudflare’s developer platform as well. We are looking for great engineers regardless of experience with any of these specific technologies.

  • This role may require flexibility to be on-call outside of standard working: hours to address technical issues as needed.

  • Design, build, run, and scale distributed tools and services that support: both cyber threat disruption and platform abuse efforts.

  • Develop critical data pipelines and services to collect, analyze, and expose: threat intelligence data for Cloudforce One analysts and Cloudflare customers, helping to identify Tactics, Techniques, and Procedures (TTPs) and Indicators of Compromise (IOCs).

  • Collaborate closely with Threat Intelligence, Trust & Safety, Legal, and: Product teams to understand goals and translate complex technical requirements into elegant, scalable solutions.

  • Improve system design and architecture to ensure stability, performance, and: maintainability of both internal and customer-facing compliance and security services.

What they're looking for

  • Analyze, communicate, and help prioritize complex technical concepts across teams.
  • Ongoing monitoring and maintenance of production services, including participation in on-call rotations.
  • Mentor and guide other developers in the team, helping to build collective: technical expertise and promote best practices for writing well-tested, modular, and reusable code.