Sr.Staff Engineer,SWG

Join the Future of Security at Netskope

Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.

At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.

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Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. Netskope Cloud Data Plane engineers architect and design one of the most scalable, high-performance cloud data planes in the world, processing 10+ Gbps of traffic, performing deep inspection using state-of-the-art techniques like AI/ML to detect activities and apply advanced policies like DLP, Threat and UEBA protection, all at line rate.

What’s in it for you In this role you will be a key member of the NG-SWG team supporting our in-line Secure Web Gateway (SWG) products, which have been recognized by Gartner as market leaders in their Magic Quadrant reports: Netskope SWG in Gartner 2023 SSE Magic Quadrant Netskope CASB in Gartner 2023 SSE Magic Quadrant

What you will be doing

• Setting and driving the overall architectural design and strategic technical directions for the SWG team

• Understanding requirement specs and designing and implementing high-quality features that ensure reliability, sustainability, scalability and observability for data plane