Principal Software Engineer (10378)

Posted 52 Minutes Ago
Be an Early Applicant
2 Locations
Hybrid
220K-250K Annually
Senior level
Software
The Role
Lead architecture and development of scalable, secure, cloud-native software platforms for intelligent networking, distributed data processing, real-time analytics, and AI agent experiences. Design high-volume, low-latency systems; guide software development across the full lifecycle; mentor engineers; and solve complex technical problems involving microservices, network telemetry, cloud infrastructure, and generative AI.
Summary Generated by Built In

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.

Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team.

Position details

Title of position: Principal Software Engineer

Position type: Full time

Location: Seattle, WA / San Jose, CA

Position reports to: Director of SW Systems Engineering

Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled.

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

Are you energized by the opportunity to shape the future of intelligent networking, generative AI, and autonomous agentic systems? Do you want to help 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? Do you aspire to create global impact while tackling challenges at the intersection of networking, AI, distributed systems, cloud platforms, security, and real-time data processing?

Then come advance with us.

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.

  • There has never been a better time to join Extreme. Following several acquisitions that have expanded our portfolio and go-to-market strategy, we are seeing tremendous opportunity and growth across regions. In addition to being recognized as a Technology Leader in the Gartner Magic Quadrant, we actively promote an internal culture that truly embraces diversity. Our motto at Extreme is “Advance with us,” and it applies to everyone we work with, both inside and outside the company.

  • 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.

Basic 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.
    • Come work with a team of highly talented engineers and advance with us as we build the next generation of intelligent networking systems.

    • Salary based on qualifications, experience and region up to USD 220 k to 250K plus benefits.

Equal Employment Opportunity

    1. Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans.
    2. Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply.

Fair chance and background checks

  • Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance. An applicant's conviction history will not be considered until after a conditional offer of employment has been made. Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken.
  • Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, Mathematics, a related technical discipline, or equivalent practical experience
  • 8+ years of experience across the complete software development lifecycle, including architecture, design, coding, testing, deployment, and production operations
  • 8+ years of programming experience 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 AWS, Azure, or Google Cloud
  • Experience with real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI or agentic systems, network telemetry, or large-scale analytics
  • Experience designing high-volume, high-velocity data systems with stringent scalability, availability, latency, and operational reliability requirements
  • Experience mentoring engineers, serving as a technical lead, or leading an engineering team
  • Ability to solve complex, ambiguous, or undefined technical problems and develop production-ready solutions
  • Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, a related discipline, or equivalent practical experience
  • Experience building scalable, event-driven microservices and processing real-time operational or network data
  • Experience building generative AI or agentic systems involving 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 Kafka, Spark, Flink, PySpark, MapReduce, or comparable distributed data and processing technologies
  • Experience working with large-scale real-world datasets and building reliable production systems that produce actionable insights or automated outcomes

Extreme Networks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Extreme Networks and has not been reviewed or approved by Extreme Networks.

  • Flexible Benefits Flexible work options and time‑off policies are emphasized through a 'Flex First' model with remote/hybrid choices and flexible or unlimited PTO. Wellness programs, volunteer time, and family leave round out a broad, adaptable package.
  • Healthcare Strength Healthcare coverage is positioned as comprehensive, including medical, dental, vision, mental health, and HSA eligibility. U.S. high‑deductible plans include a company HSA contribution, strengthening the financial value of coverage.
  • Equity Value & Accessibility Equity participation is accessible via RSUs and an ESPP that enables discounted stock purchases. Variable pay and equity components can materially lift total compensation when business performance is strong.

Extreme Networks Insights

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The Company
HQ: Morrisville, North Carolina
3,661 Employees
Year Founded: 1996

What We Do

Extreme Networks, Inc. (EXTR) is a leader in cloud networking focused on delivering services that connect devices, applications, and people in new ways. 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.

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