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Extreme Networks

Provides switching, routing, wireless, and security

AI Staff Software Systems Engineer: AI Infrastructure, Distributed Systems - Multiple Teams

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.
  • At least 7 years of experience across the complete software development lifecycle, including architecture, design, coding, code reviews, testing, build processes, deployment, and production operations.
  • At least 7 years of programming experience and proficiency in at least one general-purpose programming language; Python, Java, Go, or C++ is preferred.
  • At least 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.

Responsibilities

  • Help define and drive an innovative technical vision across products and platforms, and 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.
  • Build resilient, secure, observable, and scalable systems, and champion improvements to architecture, engineering processes, system performance, and operational readiness.

Desired Qualifications

  • A master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, or Machine Learning, 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.

About the Company

Extreme Networks

Provides switching, routing, wireless, and security

Extreme Networks provides networking solutions for organizations, including switching, routing, wireless, data center fabrics, and cloud-based management with security and ML-driven analytics. It sells hardware and software and offers professional and fully managed IT services, training, and a support portal. It differentiates itself with an end-to-end suite across many industries, a focus on security and ML-enabled insights, and ITIL-aligned managed services. Its goal is to help customers operate secure, reliable, and optimized networks across on-premises, cloud, and data center environments.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Morrisville, NC
Founded
1996

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