SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 220,000 - 250,000 / annual
Extreme Networks is seeking a Senior Software Engineer to help shape the future of intelligent networking, generative AI, and autonomous agentic systems. You will work at the forefront of cloud-native platforms and real-time distributed systems, leading the development of core platforms and services that process large volumes of network and operational data to power AI experiences across the company.
The role focuses on building highly scalable systems that are secure, reliable, observable, adaptable, and safe for enterprise use cases. Your work will span networking, agentic AI, distributed data processing, real-time analytics, and intelligent automation—capabilities that impact multiple Extreme flagship products and new company offerings. You will help drive a fundamental shift in how businesses operate and manage their wired and wireless networks by creating high-performance, real-time systems that process massive volumes of network data, derive actionable insights, and enable intelligent agents to assist users or act autonomously.
Extreme Networks serves over 50,000 customers globally with end-to-end, cloud-driven networking solutions. The company is recognized as a Technology Leader in the Gartner Magic Quadrant and has recently expanded through acquisitions, creating significant growth opportunities across regions. The team actively promotes a culture of diversity and continuous learning.
You will continuously experiment with emerging technologies, create best-in-class networking experiences, and launch state-of-the-art software, data, and AI solutions. The position reports to the Director of SW Systems Engineering and offers the opportunity to work with highly talented engineers on next-generation intelligent networking systems.
**Requirements:**
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical discipline (or equivalent practical experience)
- 4+ years of experience across the complete software development lifecycle (architecture, design, coding, code reviews, testing, build processes, deployment, production operations)
- 4+ years of programming experience with proficiency in at least one general-purpose language (Python, Java, Go, or C++ preferred)
- 3+ years of experience leading the design and architecture of large-scale distributed systems, preferably on cloud platforms (AWS, Azure, or Google Cloud)
- Experience in one or more of: real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI/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 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 (tool use, planning, memory, retrieval, orchestration, evaluation, production deployment)
- Experience developing networking, network management, observability, telemetry, cloud infrastructure, or distributed control-plane systems
- Experience with distributed data and processing technologies (Kafka, Spark, Flink, PySpark, MapReduce, or comparable)
- Experience working with large-scale, real-world datasets and building reliable production systems that translate data into actionable insights or automated outcomes
