What You Will Be Doing

  • Malware analysis specifically on Network packets since Asimily is a Network based solution

  • Ability to write signatures for the malware found on the Network packets

  • Malware research using Static and Dynamic analysis on existing Malware affecting

  • healthcare and other key verticals and write signatures for network detection for them

  • Keep a close tab on NVD and other security vulnerabilities feeds and security bulletins

  • Research malware and other exploits for the different security vulnerabilities and

  • write signatures for them

  • For vulnerabilities without any known exploits, go through existing set of research and write rules for them

  • Continuously perform security research, analyze new and existing medical devices security vulnerabilities across device models and manufacturers. 

  • Work closely with the development team & subject matter expert to build intelligence and rules into the product’s backend systems.

  • Research on current and potential security threats on medical devices providing actionable data that can be used to drive risk mitigation solution development.

  • Setup labs to test different kinds of malware

What you need for this position

  • Minimum Qualifications: 5+ years of experience in malware and threat research

  • Must have a Computer Science, Computer Engineering or related technical discipline

  • Ability to write Rules for the different types of malware found on the Network packets. Ability to write rules using Snort framework will be a plus

  • Hands on experience with information security technologies and key concepts such as Vulnerability Management, CVE, Risk etc.

  • Research ability to understand exploits in the wild for vulnerabilities (eg CVEs) would be a plus

  • Knowledge of wireshark and other network packet inspection tools

  • Scripting and programming experience with Python, bash

  • Has innovative ideas and demonstrates confidence to promote, share and implement ideas into actionable outcomes

  • Experience working with network streaming data, machine learning and large data sets is a plus

  • This position requires some overlap during US work hours