Engineer III - Vulnerability Detection

CrowdStrike CrowdStrike · Enterprise · Pune, India

This role focuses on developing AI-enhanced vulnerability detection and assessment capabilities within CrowdStrike's cybersecurity platform. The engineer will research, design, and implement AI agent workflows to automate vulnerability analysis, prioritization, and remediation guidance, leveraging generative AI tools. The role involves collaborating with cross-functional teams and potentially leading a team of engineers.

What you'd actually do

  1. Collaborate and lead a Team of Vulnerability Detection Engineers and Researchers to plan, coordinate and execute Vulnerability Detection Coverage for Exposure Management Supported Platforms
  2. Participate and lead Company Thought Leadership efforts and guidance for analysis on prevalent vulnerabilities and Risk Based Vulnerability Management.
  3. Vulnerability data discovery and validation (Data efficacy & Accuracy)
  4. Collaborate with multi-functional teams across various physical locations including product management and other engineering disciplines.
  5. AI-Enhanced Vulnerability Detection Research: Leverage generative AI tools to accelerate vulnerability analysis, proof-of-concept development, and detection rule creation while maintaining human oversight for validation and detection accuracy.
  6. Intelligent Vulnerability Assessment Pipeline: Design and implement AI agent workflows to automate multi-step vulnerability validation processes (e.g., discovery, analysis, prioritization, remediation guidance) while ensuring human-in-the-loop verification for critical vulnerability detections and false positive reduction.
  7. Lead and manage other projects as assigned

Skills

Required

  • Minimum 7+ years of overall experience
  • Programming/scripting knowledge for automating day to day tasks – Python/ Perl, Golang.
  • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
  • Experience in Cybersecurity Industry
  • Ability to develop, coordinate and execute on an engineering roadmap
  • Ability to communicate and articulate crisply at all levels from executive staff to engineers
  • Ability to communicate, collaborate, and work effectively in a distributed team
  • Familiarity and experience with the Agile process

Nice to have

  • Understanding of Vulnerabilities, mitigations and remediations
  • Understanding of Vulnerability and Software Detection techniques
  • Understanding of Vulnerability Prioritization Models
  • Experience with Security/Vulnerability detections development and release
  • Experience of Vulnerability Management product development
  • Experience designing and implementing validation workflows for Security Based products
  • Experience working in remote & distributed environments
  • Solid design and problem-solving skills with a demonstrated passion for engineering excellence, pragmatism, quality, security, and performance
  • Experience with Go and/or Python would be a plus
  • management and leadership roles is a plus

What the JD emphasized

  • AI-Enhanced Vulnerability Detection Research
  • Intelligent Vulnerability Assessment Pipeline
  • AI agent workflows
  • automation
  • multi-step vulnerability validation processes
  • human oversight for validation and detection accuracy
  • human-in-the-loop verification for critical vulnerability detections and false positive reduction

Other signals

  • AI-Enhanced Vulnerability Detection Research
  • Intelligent Vulnerability Assessment Pipeline
  • AI agent workflows
  • automation
  • vulnerability analysis