Job Description
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their
- Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions
- They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress
- With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme
- Inclusion is one of our core values and in our DNA
- We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them
- Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team
- Position : AI Staff SW Systems Engineer – Skills : AI, Distributed Systems,Microservice, AI Infrastructure,Agentic systems Location : Bangalore or Chennai or Remote Software Engineering: Are you energized by the opportunity to shape the future of intelligent networking, generative AI, and autonomous agentic systems? Do you want to help build highly scalable systems that process real-time network data, power intelligent experiences, and enable AI agents to reason, remember, plan, collaborate, use tools, and safely take action on behalf of users? Do you aspire to create global impact while tackling challenges at the intersection of networking, AI, distributed systems, cloud platforms, security, and real-time data processing? Then come advance with us
- This is an incredible opportunity to work at the forefront of intelligent networking, agentic automation, cloud-native platforms, and real-time distributed systems
- You will help lead the development of core platforms and services that process large volumes of network and operational data and power AI experiences across Extreme
- These systems must be scalable, secure, reliable, observable, adaptable, and safe for enterprise use cases
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