Sr. Threat Researcher (remote, Ind)

CrowdStrike CrowdStrike · Enterprise · India · Remote

CrowdStrike is seeking a Sr. Threat Researcher to lead technical initiatives in threat detection and response. This role involves architecting scalable automation solutions for malware analysis, mentoring researchers, and performing deep reverse engineering. The position requires experience with AI/ML for threat detection, production-quality automation tool development, and working with large datasets. The goal is to translate research findings into production capabilities for CrowdStrike's AI-native cybersecurity platform.

What you'd actually do

  1. Take ownership of critical technical initiatives and architect scalable automation solutions for malware analysis at scale
  2. Serve as a technical mentor to researchers across all experience levels, helping to elevate team capabilities through knowledge sharing and technical guidance
  3. Work independently on the most challenging and complex threats, performing deep reverse engineering and analysis
  4. Collaborate cross-functionally with Engineering, Product, and Detection teams to translate research findings into production capabilities
  5. Design proof-of-concept automation solutions and effectively hand off to engineering teams for production implementation

Skills

Required

  • 12+ years of experience in the threat research field with a focus on malware analysis and reverse engineering
  • Strong reverse engineering skills on file-based threats, with demonstrated ability to deliver high-quality, in-depth analysis
  • Solid proficiency in disassembly and deep understanding of structured programming, compiler behaviors, and binary analysis techniques. Experience with reverse engineering tools such as IDA Pro, Ghidra, Binary Ninja, x64Dbg, or similar platforms
  • Experience in using machine learning and artificial intelligence for static and dynamic threat detection, including understanding of ML pipelines and model deployment in production environments
  • Strong understanding of file formats for compiled code and scripted files, with ability to analyze and contribute to parsers and feature extraction tools
  • Proficiency in multiple programming languages such as Python, Go, Rust, C++, or similar, with demonstrated ability to build production-quality automation tools and systems
  • Deep familiarity with multiple major Operating Systems (Windows, Linux, Mac), with in-depth knowledge of OS internals, kernel behaviors, and how host systems function at a technical level
  • Experience working with large data sets using tools like Splunk, ElasticSearch-Kibana, or similar platforms, along with knowledge of relational (MySQL, PostgreSQL) and non-r

Nice to have

  • Bachelor's or Master's degree in Computer Science or comparable field

What the JD emphasized

  • AI-native platform
  • machine learning and artificial intelligence for static and dynamic threat detection
  • ML pipelines and model deployment in production environments
  • production-quality automation tools and systems

Other signals

  • AI-native platform
  • machine learning and behavioral protection capabilities
  • machine learning and artificial intelligence for static and dynamic threat detection
  • ML pipelines and model deployment in production environments
  • scalable automation pipelines