Senior Engineering Manager -Big Data, Generative AI -10011

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. Senior Engineering Manager (Big Data, Gen AI) : Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme. This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.Job Responsibilities

• Provide technical leadership and vision, driving innovation in distributed systems, large-scale data pipelines, and ML solutions
• Lead the full software development lifecycle, including design, architecture, testing, deployment, and operations
• Architect and deliver high-performance, scalable microservices and real-time inferencing systems using modern ML infrastructure
• Mentor and grow engineering talent, establish technical direction, and foster a culture of excellence and collaboration
• Champion engineering rigor, operational excellence, and process improvements to deliver resilient, scalable systemsBasic Qualifications
• Degree in Computer Science, Mathematics, or a related discipline
• 8+ years of experience across the full SDLC including design, coding, reviews, testing, deployment, and operations
• 4+ years of experience managing engineering teams with a proven track record of delivery
• 4+ years of experience building distributed Big Data solutions such as Spark, Kafka, Debezium, Hudi, Flink, or Glue
• 4+ years of experience designing and architecting large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP
• Proven ability to optimize Big Data workflows and improve system performance at scale
• Proficiency with Docker, Kubernetes, and modern CI / CD practices
• Experience serving as a mentor, tech lead, or people manager in engineering organizationsPreferred Qualifications
• MS or PhD in Computer Science or a related field
• Experience with Graph ML and Graph technologies such as GNNs
• Experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning