Responsibilities
- Drive architectural direction and technical strategy across Cloudforce One engineering, spanning services that run in Kubernetes, on the edge (Workers, D1), and across Cloudflare's global network.
- Identify and dismantle technical bottlenecks, legacy patterns, and architectural debt that slow down threat detection and abuse response — then replace them with systems that are faster, more reliable, and more elegant.
- Design and build critical data pipelines and services to collect, enrich, analyze, and expose threat intelligence and abuse signals at massive scale, helping identify Tactics, Techniques, and Procedures (TTPs) and Indicators of Compromise (IOCs).
- Serve as a technical force multiplier across multiple concurrent projects — you will context‑switch between threat intelligence platforms, abuse detection systems, legal response tooling, and customer‑facing security products as priorities demand.
- Bring a threat‑informed perspective to engineering decisions: understand how adversaries adapt, how detection rules degrade, and how to build systems that stay ahead of evolving attack techniques.
- Collaborate with Threat Intelligence researchers, Trust & Safety analysts, Product, Legal, and other engineering teams to translate complex security and compliance requirements into scalable, production‑grade solutions.
- Mentor and elevate the engineering talent around you — set the bar for code quality, system design, operational rigor, and security‑first thinking across both organizations.
- Develop and champion agentic AI workflows and AI‑assisted development practices that accelerate threat hunting, detection engineering, and abuse investigation.
- Own the operational excellence of the systems you touch, including participation in on‑call rotations and incident response.
Requirements
- 15+ years of cyber security experience with an emphasis on building systems to present adversarial trends and techniques both as an internal reputational service and a product facing analyst service.
- 10+ years of experience building and operating large-scale distributed systems in production, with demonstrated expertise in complex system architecture and design.
- Deep, hands‑on proficiency in Go and/or TypeScript, with production experience deploying services in Kubernetes and on edge computing platforms (e.g., Cloudflare Workers, D1/SQLite‑at‑the‑edge).
- Subject matter expertise in threat intelligence, adversarial analysis, or detection engineering — you understand the Cyber Kill Chain, know how to track TTPs, and can reason about attacker infrastructure at scale.
- Proven ability to work across organizational boundaries and lead technical initiatives that span multiple teams, codebases, and problem domains simultaneously.
- Experience with AI‑assisted development and agentic AI workflows.
- Strong architectural judgment — you know when to build, when to refactor, and when to burn it down and start over.
- Experience designing and operating critical data pipelines (Kafka, Temporal, or similar) and working with SQL databases (PostgreSQL) and caching layers (Redis) at scale.
- Excellent communication skills — you can explain a complex system design to a VP and debug a race condition with a junior engineer in the same afternoon.
- A track record as a disruptor: you have examples of fundamentally improving how a team, system, or organization operates, not just shipping features.
- Bonus Points:
- Experience in the Trust & Safety or platform abuse domain — phishing detection, malware analysis, fraud prevention, or content moderation at scale.
- Proficiency in writing detection rules using YARA, Snort, or similar detection languages.
- Experience analyzing adversary TTPs across web‑based threat vectors, including phishing obfuscation techniques (HTML encoding, JavaScript redirects, Base64, embedded scripts).
- Familiarity with Rust.
- Experience with Terraform and infrastructure‑as‑code practices.
- Prior experience building threat intelligence platforms, IOC distribution systems, or automated mitigation pipelines.
- Experience with React for internal tooling and analyst‑facing applications.
- Deep understanding of DNS, TLS/SSL, HTTP, and web security standards.
ATS Optimization Keywords
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Hard Skills
- Cyber Security
- Large-Scale Distributed Systems
- Threat Intelligence
- Go
- TypeScript
- Kubernetes
- SQL Databases
- Data Pipeline Design
- Detection Rule Writing
- Adversarial Analysis
Soft Skills
- Excellent Communication
- Mentoring
- Collaboration
- Architectural Judgment
- Disruption