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Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

Senior WAF Engineer - Autonomous Defense

Security Engineering & ArchitectureUpdated on Nov 11
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of experience in application security, security engineering, security operations, incident response, or threat hunting, including at least 2 years administering and tuning WAF platforms in production.
  • Hands-on production experience administering and tuning WAF platforms such as AWS WAF, Cloudflare WAF, F5 Advanced WAF, Imperva, Akamai App & API Protector, FortiWeb, or ModSecurity with OWASP CRS, including custom rules, managed rule groups, rate-based rules, exclusions, and count-to-block rollout.
  • Deep understanding of how AppSec and SOC teams use WAF rule outcomes and request logs for triage, containment, and investigation.
  • Fluency in false-positive and false-negative tradeoffs, overly permissive rules and exclusions, application-availability risks, and assessment of WAF policy effectiveness and coverage.
  • Working knowledge of the OWASP Top 10, MITRE ATT&CK, including T1190, and application-control coverage frameworks, including their limitations.
  • Understanding of web attack behavior in HTTP requests and WAF telemetry, and how WAF controls limit exploitation of public-facing applications, injection attacks, credential stuffing, bot abuse, and API abuse.
  • Demonstrated experience shaping a product or platform as a domain expert in a security vendor, internal tooling team, or detection engineering function.
  • Ability to influence engineers and product stakeholders without formal authority.
  • Technical writing ability to produce requirements, methodology documents, labeling guides, and tuning content.
  • Ability to translate between engineers, AI researchers, product managers, SOC analysts, and executives.
  • Scripting ability to query APIs, inspect telemetry, and prototype analyses; Python is identified as an ideal language.
  • Comfort with SQL and reasoning over large volumes of event and telemetry data.

Responsibilities

  • Partner with Product to turn WAF effectiveness and tuning goals into concrete, buildable requirements.
  • Translate blue-team workflows and pain points into prioritized product outcomes, and challenge features or agent behaviors that would not hold up in a real SOC.
  • Define acceptance criteria for detection, effectiveness, and tuning features, and validate releases against them before customers see them.
  • Serve as the standing domain reference for Engineering and AI research on design reviews, technique questions, and vendor behavior.
  • Maintain current, deep knowledge of major WAF platforms at the management console, rule and policy configuration, request logging, and API levels.
  • Maintain fluency in each product’s rule evaluation and enforcement, including rule priority and ordering, managed rule groups, custom rules, rate-based rules, exclusions and exceptions, count/monitor versus block modes, request-body inspection limits, and default versus hardened configurations.
  • Define vendor-specific rule semantics so recommended rule or configuration changes have equivalent intent across platforms with differing policy models.
  • Track platform releases, rule and API changes, new managed rule sets, bot and API protection capabilities, and vendor guidance; keep the supported coverage model current as vendors ship changes.
  • Define standards for correct WAF tuning recommendations, including blocking validated exploits and realistic encoding and payload variants while preserving legitimate application traffic, and evaluate remediation output against those standards.
  • Partner with the Attack team to keep exploit validation, WAF coverage, and remediation guidance grounded in current adversary tradecraft and real application behavior.

About the Company

Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

Horizon3.ai specializes in cybersecurity by offering NodeZero, a SaaS platform for autonomous penetration testing. It lets enterprises simulate cyber-attacks on their own systems in a self-service way, without installing persistent agents, and without ongoing human intervention. The platform works by running security-focused attack simulations in production environments to uncover exploitable vulnerabilities and weak controls, delivering vulnerability assessments, threat simulations, and compliance-oriented testing through tiered subscription plans. This approach differentiates Horizon3.ai from traditional pentesting by being self-service, agentless, and safe to run in live environments, while targeting enterprise customers that must meet standards such as PCI DSS. The company aims to help organizations improve their security posture, prioritize remediation, and maintain regulatory compliance by continuously identifying and fixing weaknesses.

Company size
501-1,000
Company stage
Series E
Total funding
$437M
Headquarters
San Francisco, CA
Founded
2019

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