Staff Software Engineer

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.Staff Software Engineer (Big Data,GenAI): Experience: 8 to 13 Years Location: Bangalore,India Remote 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, driving 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 ·Lead the design and development of distributed systems, data pipelines, and ML infrastructure with a focus on scalability and reliability·Own end-to-end delivery of key features and services across the full SDLC: design, implementation, testing, deployment, and operations·Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready systems·Build and optimize scalable, real-time analytic systems powering AI Agents·Mentor junior and mid-level engineers, provide technical guidance, and promote engineering best practices·Collaborate across teams to ensure solutions are resilient, secure, and high-performingRequirements ·Degree in Computer Science, Mathematics, or a related field·8+ years of experience across the full software development lifecycle (design, coding, reviews, testing, deployment, operations)·5+ years of experience with distributed Big Data systems (, PySpark, Lakehouse, Kafka, Debezium, Hudi, Druid, Flink, Spark Streaming)·Experience with sensitive or streaming data pipelines, including governance and compliance requirements·Experience with Graph technologies (, GNNs)·Proven track record of delivering complex, high-impact software systems in production·Experience deploying large-scale solutions on cloud platforms (AWS, Azure, GCP)·Strong problem-solving skills and ability to excel in ambiguous environmentsPreferred Qualifications ·MS in Computer Science, Machine Learning, or a related discipline·Experience with Graph ML and Graph technologies (, GNNs)·Hands-on experience building Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production

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