Senior Software Engineer-Big Data, Generative AI-10017

Extreme Networks; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading global networking company is seeking a Senior Software Engineer specializing in Big Data and Generative AI. The role involves designing scalable systems, mentoring junior engineers, and driving innovation to enhance AI-driven network management. Ideal candidates have extensive experience in software development and cloud deployments. This opportunity is part of a dynamic work environment emphasizing inclusion and diversity.

Qualifications

• 5+ years of experience across the full software development lifecycle.
• 3+ years of experience with distributed Big Data systems.
• Hands-on experience delivering ML or Generative AI solutions.

Responsibilities

• Design, implement, and maintain scalable distributed systems.
• Build and optimize microservices and real-time inferencing solutions.
• Mentor junior engineers and contribute to engineering best practices.

Skills

Distributed Big Data systems

Machine Learning solutions

Generative AI

Problem-solving

Education

Degree in Computer Science, Mathematics, or related field

Tools

PySpark

Kafka

AWS

Azure

GCP

Job description

Overview

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 progress. With double-digit growth year over year, Extreme is positioned to deliver scalable outcomes.

Inclusion is one of our core values. We are committed to fostering an inclusive workplace that embraces differences and creates an environment where all employees thrive because of their differences, not in spite of them.

Join Extreme and be part of something big. As a global networking leader, there’s no better time to join the Extreme team.

Senior Software Engineer – (Big Data, GenAI)

Experience: 5 to 12 years

Location: Bangalore, India

Remote

Are you energized by 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

• Design, implement, and maintain scalable distributed systems, data pipelines, and ML services
• Contribute to system architecture discussions and help shape design decisions for production systems
• Build and optimize microservices and real-time inferencing solutions powering AI Agents
• Collaborate with cross-functional teams to integrate Big Data and Generative AI solutions into products and platforms such as Lakehouse, Streaming Services, and ETL Pipelines
• Write high-quality, production-ready code and participate in design reviews, code reviews, and testing
• Mentor junior engineers and contribute to engineering best practices

Requirements

• Degree in Computer Science, Mathematics, or a related field
• 5+ years of experience across the full software development lifecycle including design, coding, testing, deployment, and operations
• 3+ years of experience with distributed Big Data systems such as PySpark, Kafka, Lakehouse, Debezium, Druid, or Glue
• Hands-on experience delivering ML or Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production
• Experience deploying large-scale systems on cloud platforms such as AWS, Azure, or GCP
• Strong problem-solving skills with the ability to deliver in fast-paced, collaborative environments

Preferred Qualifications

• MS in Computer Science, Machine Learning, or a related field
• Experience with Graph ML such as GNNs or Graph RAG
• Experience in Generative AI such as RAG, Knowledge Bases, or AI Agents

About Extreme Networks

Extreme Networks, Inc. creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. 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. For more information, visit Extreme\'s website or follow us on Twitter, LinkedIn, and Facebook.

We encourage people from underrepresented groups to apply. In keeping with our values, no employee or applicant will face discrimination/harassment based on race, color, ancestry, national origin, religion, age, gender, marital status, domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Extreme Networks also strives to prevent other forms of inappropriate behavior from gaining a foothold in our organization. Barriers to success have no place at Extreme Networks.