Principal Software Engineer (10378, 10382, 10385)

About The Position

This is an incredible opportunity to work at the forefront of intelligent networking, agentic automation, cloud-native platforms, and real-time distributed systems. You will help lead the development of core platforms and services that process large volumes of network and operational data and power AI experiences across Extreme. These systems must be scalable, secure, reliable, observable, adaptable, and safe for enterprise use cases.

Our group is responsible for developing core platforms and services spanning networking, agentic AI, distributed data processing, real-time analytics, and intelligent automation. These capabilities positively impact multiple existing Extreme flagship products as well as new company offerings. We are spearheading a fundamental shift in how businesses operate and manage their wired and wireless networks by building high-performance, real-time systems that can process massive volumes of network data, derive actionable insights, and enable intelligent agents to assist users or act on their behalf.

As part of this group, you will continuously experiment with emerging technologies, create best-in-class networking experiences, and launch state-of-the-art software, data, and AI solutions.

Responsibilities

• Shape the future of intelligent networking, generative AI, and autonomous agentic systems.
• Build highly scalable systems that process real-time network data, power intelligent experiences, and enable AI agents to reason, remember, plan, collaborate, use tools, and safely take action on behalf of users.
• Lead the development of core platforms and services for large-scale, secure, reliable, and observable enterprise systems.
• Tackle challenges at the intersection of networking, AI, distributed systems, cloud platforms, security, and real-time data processing.
• Experiment with emerging technologies and launch state-of-the-art software, data, and AI solutions.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.
• 8+ years of experience across the complete software development lifecycle, including architecture, design, coding, code reviews, testing, build processes, deployment, and production operations.
• 8+ years of programming experience, with proficiency in at least one general-purpose programming language, preferably Python, Java, Go, or C++.
• 5+ 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 the following areas: 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.

Pay

This role offers a market-competitive salary with an anticipated base compensation range of $220,000 to $250,000 USD. Actual compensation will depend on the selected candidate’s experience, qualifications, skills, and work location.

Benefits

Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include:

• Medical, dental, and vision insurance
• Flexible work schedules and work-from-home opportunities where role permits
• Paid time off, including open time off in eligible markets and statutory leave in all markets
• Paid holidays in accordance with local practice
• Retirement savings programs, including 401K matching in the United States
• Employee Stock Purchase Program, where eligible
• Adoption assistance and fertility treatment support, where eligible
• Flexible spending accounts, where eligible
• Employee assistance program
• Tuition reimbursement, where eligible
• Life and disability insurance

Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment.

Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time.