Introduction
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. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Job Description
As a global networking leader, learn why there’s no better time to join the Extreme team.
Job Description What you will do (Job Specific Details on the nature of the job and responsibilities).
Job Responsibilities
- Serve as a thought leader and forward thinker, helping define and drive an innovative technical vision across our products and platforms.
- Design and launch strategic capabilities spanning intelligent networking, distributed systems, real-time data processing, agentic AI, and machine learning.
- Lead the end-to-end software development lifecycle, including architecture, design, implementation, testing, deployment, and operations.
- Lead technical discussions and strategy while participating hands-on in design reviews, code reviews, and implementation.
- 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.
- Mentor and develop engineers across the team, establish a clear technical direction, and foster a culture of innovation, collaboration, accountability, and engineering excellence.
- Uphold the highest standards of technical rigor and operational excellence.
- Build highly resilient, secure, observable, and scalable systems, and champion improvements to architecture, engineering processes, system performance, and operational readiness.
Basic Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.
- 7+ years of experience across the complete software development lifecycle, including architecture, design, coding, code reviews, testing, build processes, deployment, and production operations.
- 7+ 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 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.
Qualifications
BEng - Computer and Information Science
Equal Opportunity Statement
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 domestic partner status, sexual orientation, gender identity, disability status, or veteran status.
Above and beyond discrimination/harassment based on "protected categories," Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization.
Whether blatant or hidden, barriers to success have no place at Extreme Networks.
Privacy Statement
Our full privacy statement is available here: Privacy Statement