Drimva

Cloudflare

Software Engineer (Threat Intelligence), Cloudforce One

$150K–$216K

Hybrid +4 · Full-time · Posted Oct 9, 2025

Location
Hybrid
Austin, TX, United States
London, United Kingdom
New York, New York, United States
San Francisco, CA, United States
Experience
At least 5 years building large-scale software applications, preferably distributed systems; at least 3 years working with Threat Intelligence or supporting a Threat Intelligence platform.
Visa sponsorship
Any offer may be conditioned on authorization to receive software or technology controlled under U.S. export laws without sponsorship for an export license.

About the job

Build and operate scalable software and data systems that support cyber threat disruption, threat intelligence, and legal response efforts.

What you'll do

  • Design, build, scale, monitor, and maintain distributed services and data pipelines for threat intelligence and platform abuse.
  • Translate security and legal requirements into reliable internal and customer-facing applications, collaborating across teams.
  • Participate in on-call rotations and mentor developers on engineering practices.

What they ask for

  • At least 5 years of experience building large-scale software applications, preferably distributed systems.
  • At least 3 years of experience working with Threat Intelligence or supporting a Threat Intelligence platform.
  • Experience designing and integrating RESTful APIs and/or gRPC services.
  • Experience writing production-ready code in Go and/or Typescript.

Nice to have

  • Experience with AI-assisted development and agentic AI workflows.
  • Familiarity with Rust; bonus experience includes Kafka, React, Kubernetes, or Redis.

Pay

$157,000 - $216,000 USD annual base salary (San Francisco); $150,000 - $206,000 USD annual base salary (New York City)

Tools

Golang, TypeScript, Rust, Kafka, Redis, Kubernetes, Terraform, PostgresSQL

AI focus

The role lists experience with AI-assisted development and agentic AI workflows as desirable; the company describes AI as a tool for faster iteration and problem-solving.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)