Extreme Networks, a global leader in cloud-driven networking solutions, is seeking a Backend Software Engineer to join their innovative team. This role focuses on developing core solutions in data mining, machine learning, anomaly detection, and natural language processing. The position offers an exciting opportunity to work with generative AI and create global impact while tackling challenges at the forefront of machine learning.
The company serves over 50,000 customers globally and is experiencing double-digit growth year over year. As part of the platform and infrastructure team, you'll be working on groundbreaking products that define the future of AI-driven network management. This is a greenfield project where you'll help define every aspect of user and product experience.
The role involves working with cutting-edge technologies including IoT, big data, cloud computing, ML, and generative AI. You'll be part of a team spearheading a fundamental shift in how businesses manage their wired and wireless networks by building high-performance, real-time multi-agent systems.
The position offers the opportunity to work remotely from India, with a focus on developing scalable, efficient, and automated processes for large-scale data analyses. You'll be working with a team of highly talented engineers in an environment that embraces diversity, inclusion, and equality.
The company has been named to Computerworld's 2023 List of Best Places to Work in IT and is a Technology Leader in the Gartner Magic Quadrant. With hubs across North America, South America, Asia Pacific, Europe, and the Middle East, you'll be part of a truly global organization committed to pushing the boundaries of technology through machine learning, artificial intelligence, analytics, and automation.
This role is perfect for someone who is passionate about statistical/mathematical modeling and data analysis, has experience with distributed systems and big data technologies, and wants to be part of transforming the future of network management through AI and machine learning innovations.