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Extreme Networks is seeking a Principal Software Systems Engineer to lead the development of next-generation intelligent networking and agentic AI platforms. You will shape the technical vision and drive innovation across distributed systems, real-time data processing, and AI infrastructure that powers Extreme's cloud-driven networking solutions serving over 50,000 global customers.
In this role, you will serve as a thought leader and forward thinker, defining and driving innovative technical direction across products and platforms. You will design and launch strategic capabilities spanning intelligent networking, distributed systems, real-time data processing, agentic AI, and machine learning. You will lead the end-to-end software development lifecycle—from architecture and design through implementation, testing, deployment, and operations—while participating hands-on in design reviews, code reviews, and implementation.
You will design and build high-performance, production-ready services for next-generation real-time data and AI platforms, including scalable data pipelines, distributed microservices, agentic solutions, and integrations with networking systems. You will mentor and develop engineers across the team, establish clear technical direction, and foster a culture of innovation, collaboration, accountability, and engineering excellence. You will uphold the highest standards of technical rigor and operational excellence, building highly resilient, secure, observable, and scalable systems while championing improvements to architecture, engineering processes, system performance, and operational readiness.
The role is part of a group responsible for developing core platforms and services spanning networking, agentic AI, distributed data processing, real-time analytics, and intelligent automation. These capabilities impact multiple flagship Extreme products and new company offerings. You will continuously experiment with emerging technologies, create best-in-class networking experiences, and launch state-of-the-art software, data, and AI solutions.
Extreme Networks is a global networking leader recognized as a Technology Leader in the Gartner Magic Quadrant, with double-digit year-over-year growth. The company has recently completed several acquisitions that have expanded its portfolio and go-to-market strategy, creating tremendous opportunity and growth across regions.
REQUIREMENTS:
Basic Qualifications:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience
- 10+ years of experience across the complete software development lifecycle, including architecture, design, coding, code reviews, testing, build processes, deployment, and production operations
- 10+ years of programming experience with proficiency in at least one general-purpose programming language (preferably Python, Java, Go, or C++)
- 3+ years of experience leading the design and architecture of large-scale distributed systems, preferably on cloud platforms such as AWS, Azure, or Google Cloud
- Experience in one or more of: real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI or agentic systems, network telemetry, or large-scale analytics
- Experience designing systems that process high-volume, high-velocity data with stringent requirements for scalability, availability, latency, and operational reliability
- Experience mentoring engineers, serving as a technical lead, or leading an engineering team
- Demonstrated ability to tackle highly complex, ambiguous, or undefined technical problems and translate them into pragmatic, production-ready solutions
Preferred Qualifications:
- Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline, or equivalent practical experience
- Experience building highly scalable, event-driven microservices and processing large volumes of real-time operational or network data
- Experience building generative AI or agentic systems, including tool use, planning, memory, retrieval, orchestration, evaluation, and production deployment
- Experience developing networking, network management, observability, telemetry, cloud infrastructure, or distributed control-plane systems
- Experience with distributed data and processing technologies such as Kafka, Spark, Flink, PySpark, MapReduce, or comparable technologies
- Experience working with large-scale, real-world datasets and building reliable production systems that translate data into actionable insights or automated outcomes
