Staff Software Engineer - Big Data, Gen AI

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February 27

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Extreme Networks

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Telecommunications • Enterprise • Security

Extreme Networks is a global leader in cloud networking solutions. The company specializes in providing wired and wireless LAN infrastructure, network security, and cloud-based network management services. Their products and solutions, such as ExtremeCloud™ IQ and Network Fabric, are designed to simplify IT operations through automation and intelligent management. Trusted by more than half of the Fortune 50 companies, Extreme Networks helps organizations securely connect devices and applications, improve operational efficiency, and enhance customer experiences. The company is recognized for its leadership in the Gartner Magic Quadrant™ for Wired and Wireless LAN Infrastructure.

1001 - 5000 employees

Founded 1996

📡 Telecommunications

🏢 Enterprise

🔐 Security

📋 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 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!

🎯 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. • 4+ years of experience in Spark/PySpark with an in-depth knowledge of its advanced features and libraries. • 3+ years of experience in Data Lakehouse solution such as Hudi/Iceberg/Delta with an in-depth knowledge of its advanced features and libraries. • 2+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud). • Proficient in Docker, Kubernetes, and modern CI/CD practices.