About Netskope

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. 

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events (pre and hopefully post-Covid) and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.  Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

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 efficacy 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 SOPs; 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. Lead in-depth research into emerging cyber threats, malware, APT groups, and TTPs (Tactics, Techniques, and Procedures).

Qualifications/Requirements

First of all, candidates must have a true startup spirit. Be willing to wear multiple hats and deliver end-to-end 5+ years industry experience in Malware detection engine development (i.e. AVEngine, Sandbox) Experience with Malware detection engines and building/tuning sandbox. 5+ years experience in Malware Analysis and Reverse Engineering Experience in malware hunting tools (.e.g.. Yara, fuzzy hashing) Background in threat research, experience in static and dynamic analysis tools (e.g., IDA Pro, Ghidra), network analysis tools (e.g., Wireshark, Zeek), and sandbox environments. Understand and comfortable with parsing file structure of common file types including PE/Office/PDF. Familiar with the behaviors of various types of malware including trojans, ransomwares, viruses, rootkits, etc Strong understanding of network protocols, system internals (Windows, Linux), and attack techniques such as fileless malware, obfuscation, and evasion. Rich experience in Python programming.  Working knowledge of SQL and NoSQL databases Familiarity with Git version control, CI/CD pipelines, bug tracking tools, etc. Hands-on experience in public cloud infrastructure (AWS, GCP, or Azure) is plus Design and develop accurate, high-quality signatures and detection rules for threat detection systems Strong problem-solving and analytical skills, with an ability to think critically about threat detection and mitigation strategies. Familiarity with MITRE ATT&CK framework and how it maps to threat detection and signature development. 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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Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

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