Staff Software Engineer - Backend, Platform, Infrastructure, GenAI

October 25

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Extreme Networks

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Switching • Wireless • Security • Cloud Management • Network Management

1001 - 5000

Description

• Extreme Networks Named to Computerworld’s 2023 List of Best Places to Work in IT! • Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. • We believe in “walking the walk” of our strong core values which enable us to successfully advance together. • Diversity and Inclusion is a vital part of our values and beliefs, and we’re proud to foster an environment where every Extreme employee can thrive. • Come become part of something big with us! We are a global leader, with hubs in North America, South America, Asia Pacific, Europe, and the Middle East. • Are you energized by the idea of innovating with generative AI? Do you aspire to create a global impact while tackling challenges at the forefront of machine learning? • You will help define every aspect of user and product experience and drive significant portions of the technical and scientific roadmaps. • Our group is responsible for developing core solutions in data mining, machine learning, anomaly detection and natural language processing, positively impacting multiple existing Extreme flagship products and new offerings from the company.

Requirements

• Degree in mathematics/computer science or related discipline. • 5+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations. • 5+ years of experience in Python with an in-depth knowledge of its advanced features and libraries. • Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI. • Proficient in Docker, Kubernetes, and modern CI/CD practices. • 3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud). • Experience as a mentor, tech lead or leading an engineering team.