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Design and develop services for Netskope Borderless WAN Backend, focusing on network optimization and zero trust security. Evaluate and contribute to open-source technologies, coordinate with teams for scalability and availability.

Design and develop features on the cloud data plane, implement security measures such as DLP and Threat protection, analyze and inspect network traffic in real time, and work with key management algorithms.

The Sr. Staff Engineer, Data Platform at Netskope will be responsible for building next-generation data pipelines for near real-time ingestion of security insights and intelligence data using open source messaging and stream processing engines. The role involves architecting highly scalable data pipelines, evaluating technologies, collaborating with industry experts, and influencing system designs across teams.

Design and develop cloud systems and services to handle billions of events. Coordinate with other service development teams and contribute to open source technologies. Required skills include Python, Node.js, typescript, and experience in large scale distributed systems.

As a Sr. Software Development Engineer in Test at Netskope, you will design and develop UI Test automation Frameworks for CASB/SWG solutions. You will collaborate with backend service teams to ensure quality, reliability, and performance of the user interface. This role involves working on frontend and web application backend, participating in requirements gathering, test planning, automation script development, code reviews, and customer escalations.

The Sr. Software Development Engineer in Test at Netskope is responsible for writing tests and automation for big data workflows, validating ingestion pipelines, and optimizing cloud-scale data infrastructure. This role requires 5+ years of experience and expertise in Python, Go, Java, data structures, algorithms, API testing, and microservice architecture.

The Staff Site Reliability Engineer at Netskope will be responsible for improving availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of engineering stacks. This role involves solving complex problems and developing cloud services at scale.