About the role

The Security Services organization is responsible for building core security products and features, such as Data Loss Prevention, IPS, Malware and Threat Prevention, Cloud Confidence Index, and Breach and Anomaly Detection. We apply Artificial Intelligence and Machine Learning technologies across the Netskope cloud security platform. As part of the Security Services org, the Security Efficacy team is responsible for continuous enhancement and enrichment of our malware detection, URL filtering, web security, IPS, threat modeling, and SaaS/IaaS security capabilities.

What you will be doing

• Design and develop novel detection mechanisms to detect malware and Advanced threats.  
• Be the end-to-end owner of malware detection features and help to improve detection efficacy by implementing new features and product improvements.  
• Ensure continuous high efficacy on all Netskope products, through well designed internal testing and collaboration with 3rd-party testing agencies;
• Respond to customer escalations. Cover latest threat discovered. Ensure the detection of Netskope threat protection.
• Work closely with data scientists, threat researchers, software engineers and QE engineers ensure our solutions deliver continuous security values to end customers;
• Document security content release process, testing methodology, testing environment and results. Be the end-to-end owner of security efficacy;
• Be an evangelist of secure SDLC within the company;
• Collaborate with the data analytics team to define new platform requirements and continuously improve our horizontally scalable data lake.

Qualifications/Requirements

• First of all, candidates must have a true startup spirit. Be willing to wear multiple hats and deliver end-to-end
• 4+ year industry experience in Malware detection engine development (i.e. AVEngine, Sandbox)
• Proficient in Python programming. 
• Experience in Malware Analysis and Detection
  
  • Experience with Malware detection engines, static and dynamic analysis tools, building/tuning sandbox.
  • Threat research and Malware reverse engineering experience.
  • Understand and comfortable with parsing file structure of common file types including PE/Office/PDF.
• Working knowledge of SQL and NoSQL databases
• Energetic self-starter, with the desire to work in a dynamic fast-paced environment
• Excellent verbal and written communication skills
• Data mining and machine learning experience highly desirable
• Working knowledge of big data platform highly desirable
• Ability to influence without authority
• Ability of thinking out-of-box and evaluating results based on customer value

Education

• BS or MS in Computer Science or equivalent technical degree

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