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.
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 DetectionExperience 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#LI-HC1
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