Security Engineer, Applied Research & Labs

Cloudflare · Austin, TX · по договорённости

Компания
Cloudflare
Город
Austin, TX
Зарплата
по договорённости
Уровень
middle
Формат
гибрид
Иностранная компания
нанимает русскоязычных

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: Austin, TX

What You'll Do

Cloudflare is seeking a Security Engineer to design and build agentic security tooling for Cloudflare Security, and to release that work as open-source reference implementations, interactive labs, and technical workshops for customers and partners.

This role sits in the Applied Research & Labs function within the Office of the CSO. You will work embedded with Cloudflare's security teams, build on Cloudflare's Developer Platform, and represent the team's security & engineering work externally.

Security Tooling & Reference Implementations

Design and build agentic security workflows and tooling for Cloudflare Security, including multi-agent orchestration, tool integration, and evaluation harnesses

Release internal harnesses, skill definitions, and orchestration workflows as documented open-source reference implementations

Implement on Cloudflare Workers, Durable Objects, Workflows, Workers AI, AI Gateway, and the Agents SDK

Labs & Workshops

Define the technical scope and sequencing of each lab, including the failure modes participants will hit and the scaffolding they need

Build and operate the lab infrastructure: per-participant isolation, automated provisioning, state reset, and teardown

Run hands-on workshops where customers and partners build and deploy the tooling themselves

Document and package workshop formats so other Cloudflare engineers can deliver them

External Engagement

Present Cloudflare's agentic security architecture through customer briefings and conference talks

Author technical deep dives and architecture write-ups that establish Cloudflare Security as a recognized voice in the security community

Partner with Product and Engineering to align external technical content with the roadmap

Required Qualifications

4+ years in software engineering, shipping and operating production systems

Demonstrated experience building interactive labs, hands-on learning platforms, or developer training environments, including the infrastructure behind them

Strong design judgment for technical learning experiences, including scope, sequencing, and knowing what to leave out

Proficiency in TypeScript, Python, or a comparable language, with production experience in distributed or event-driven systems

Hands-on experience building LLM-based systems, including agent orchestration, tool use, context engineering, and evaluation

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