About the role

Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.

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’s in it for you

As a member of the Security Efficacy team you will play a key role in the design, development and operation of the security services that power the Netskope Security Cloud. You will work across development, research and product management teams to craft innovative solutions to the most challenging problems our customers face, and use your passion for and expertise in threat protection, malware detection, web security and network security to help drive the continued evolution of our market-leading products. If you live and breathe cloud security the way we do, we would like to hear from you. 

What you will be doing

• You will be an integral member of our artificial intelligence, security research and analytics team responsible for the design and development of distributed cloud data applications, with an emphasis on web and threat content generation and updating.
• Partnering with product managers, data scientists, threat researchers and data analysts to better understand customer requirements, find bottlenecks, and provide solutions.
• Designing, developing and supporting large-scale data collection, data analytics systems, machine learning model pipelines, tools, and micro services leveraging public cloud infrastructure.
• Building data pipelines and ETL using heterogeneous sources
• Expanding and growing data platform capabilities to tackle new data problems and challenges
• Researching and assessing open source technologies and components to recommend and integrate into the design and implementation 
• Developing and maintaining internal infrastructure and tools to support research, development, and analytics teams.

Required skills and experience

• 4+ years of experience working with big data ecosystems, cloud computing and other distributed systems and technologies
• True startup spirit and the willingness and desire to wear multiple hats and deliver end-to-end solutions in a dynamic fast-paced environment.
• Proficiency in at least one of the following programming languages: Python, Java, C/C++
• Excellent software development fundamentals and best practices, including test-driven development, CI/CD, coding standards.
• Working experience with SQL and NoSQL databases
• Working experience with big data platforms, such as Spark-streaming, Flink and Kafka
• Web based development experience is a plus
• Web categorization, malware detection, and threat intelligence experience is a plus
• Excellent communication, interpersonal and teamwork skills

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred

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