Sr. Engineer - Vulnerability Detection (hybrid, Ind)

CrowdStrike CrowdStrike · Enterprise · Pune, India

CrowdStrike is seeking a Sr. Engineer for their Exposure Management group to research, develop, and deliver Host and Network Vulnerability Assessment detections. The role involves leveraging generative AI and AI agent workflows to automate vulnerability analysis, proof-of-concept development, and detection rule creation, with a focus on building intelligent vulnerability assessment pipelines and ensuring human oversight for validation.

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 ten years of overall experience
  • Experience in Cybersecurity Industry
  • Programming/scripting knowledge for automating day to day tasks – Python/ Perl, Golang.

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
  • Experience with Go and/or Python

What the JD emphasized

  • AI agent workflows
  • multi-step vulnerability validation processes
  • human-in-the-loop verification
  • critical vulnerability detections
  • false positive reduction

Other signals

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