Sr. Software Engineer, IoT Security

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.

Netskope One SASE combines Netskope’s market-leading Intelligent SSE with its next-generation Borderless SD-WAN to protect users, applications, and data everywhere with AI-powered zero trust security, while providing fast, reliable access and optimized connectivity to any application from any network location or device, including IoT– at scale.

Click here to learn more about Netskope IoT Security.

What's in it for you

As a member of the IoT Security Team you will be working on some of the most challenging problems in the field of zero trust and IoT security. You will play a key role in the design, development, evolution and operation of a system that analyzes hundreds of parameters from discovered devices and leverages our rich contextual intelligence for device classification, risk assessment, granular access control and network segmentation.

What you will be doing

• Contributing to design and development, scaling and operating Netskope IoT Security.
• Identifying and incorporating emerging technologies and best practices to the team.
• Refining existing technologies to make the product more performant
• Develop OT security part of the solution.
• Ownership of all cloud components and drive architecture and design.
• Engaging in cross functional team conversations to help prioritize tasks, communicate goals clearly to team members, and overall project delivery.

Required skills and experience

• C, C++, python language skills.
• Strong background in developing on linux platforms ( centos and ubuntu).
• Strong knowledge in network protocols, application protocols, TCP/IP stacks, Layer 3 and 2.
• Strong Experience working on Suricata and other IPS/IDS solutions.
• Kali linux and security hacking tools experience desirable.
• Experience in developing network security appliance products
• Strong coding skills a must.
• Cloud components like mongodb, micro services and analytics skills are good to have.
• Experienced in using test tools such as IXIA and Spirent are good to have.

Education

Bachelors degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field required, Masters degree strongly preferred.

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