Search the 8 jobs at Extreme Networks

Join Extreme Networks as a Sr SW Systems Engineer to work on groundbreaking products in AI-driven network management. This is an opportunity to innovate new networking experiences at the cutting edge of technology such as IOT, big data, cloud computing, and generative AI.

Lead the end-to-end software development lifecycle, design high-performance microservices architectures, develop real-time online inferencing for complex models, mentor and develop engineers, uphold technical rigor and operational excellence.

Responsible for managing and supporting assigned strategic accounts in the West India region, maximizing business opportunities, acquiring new key accounts, developing partner relationships, and ensuring sales hygiene and strategic planning. Collaborates with internal teams and reports on sales performance metrics regularly.

Global leader in cloud-driven networking solutions seeking a Staff SW Systems Engineer with 8-10 years of experience. Work remotely from India on innovative projects involving generative AI, machine learning, and IoT. Drive technical and scientific roadmaps for AI-driven network management products.

Join Extreme Networks as a SW Systems Engineer to innovate with generative AI, advance cutting-edge products in AI-driven network management, and drive technical and scientific roadmaps. Lead the end-to-end software development lifecycle, transform raw data into actionable insights, and contribute to innovative networking experiences.

Join Extreme Networks as a Senior/Staff Distributed Systems Engineer in a remote role in India. Work on innovative projects involving generative AI, machine learning, big data, and cloud computing. Drive strategic data mining solutions, lead software development lifecycle, and contribute to network management advancements.

Join Extreme Networks as a Staff SW Systems Engineer and work on ground-breaking products in AI-driven network management. Innovate new networking experiences at the cutting edge of technology including IOT, big data, cloud computing, ML, and generative AI. Lead software development lifecycle and drive business-wide innovation.

Lead the software development lifecycle, design and launch strategic ML solutions, craft high-performance microservices architectures, mentor engineers, and champion operational excellence.