Jobs at Extreme Networks

The role involves testing and validating wired networking protocols or enterprise wireless LAN, cloud platforms, and strong programming skills. Responsibilities include triaging complex issues, utilizing observability tools, and collaborating across teams.

The role requires a Sr QA Engineer with extensive experience in networking protocols and cloud platforms to test and validate systems, perform root cause analysis, and collaborate across teams.

Support development, qualification, and sustainment of production test fixtures and stations. Write and maintain test scripts, debug failing units using lab instruments, collect and analyze production test data, support NPI builds, and assist deployment and troubleshooting at global manufacturing partners to improve yield and quality.

Design, build, and operate GenAI and ML systems for network intelligence. Lead architecture of distributed ML services, implement REST APIs, containerize and deploy with Kubernetes, mentor engineers, and support LLM fine-tuning, retrieval-augmented generation, and big-data workflows.

Design, implement, and optimize monitoring and alerting across cloud infrastructure. Manage Extreme Cloud products, troubleshoot infra and application issues, improve deployment automation for Kubernetes microservices, enhance availability and scalability, provide 24/7 support, and participate in cloud security and compliance across distributed teams.

Partner with Account Executives to design, demonstrate, and validate secure, scalable wired/wireless networking solutions. Deliver technical presentations, POCs, RFP responses, and workshops; provide consultative guidance across switching, routing, wireless, security, and cloud-managed platforms; support competitive differentiation and post-sales escalations.

Drive technical strategy across the sales lifecycle for SLED accounts: design secure, scalable networking solutions, deliver demos/POCs, support evaluations, author proposals/RFP responses, enable customers and partners, and assist post-sales escalations.

Lead design and delivery of production-grade ML and Generative AI platforms. Define technical vision, own full SDLC, architect scalable distributed ML systems, partner with cross-functional teams to integrate and operationalize models (RAG, agents, LLM fine-tuning) at scale.

Design and execute L2/L3 test plans for data center and 5G solutions; build and maintain automation frameworks in Python and Golang; run manual and automated regression, functional, and performance tests; analyze logs and packet captures; troubleshoot across network, system, and application layers; and support CI/CD continuous testing.

Lead engineering teams to design, build, and operate a scalable, secure AI agent platform and cloud-native services. Define technical roadmap, drive delivery across programs, make architectural trade-offs, ensure production readiness, mentor leaders, and collaborate with product, security, and cloud operations.

Lead SD-WAN product strategy and roadmap, define AI-driven automation and Fabric-to-the-Edge use cases, translate market/customer needs into engineering requirements, execute GTM, and drive cross-functional launches and customer advocacy for cloud-managed SD-WAN SaaS offerings.

Owner of CI/CD infrastructure and build/release engineering at scale: design, automate, and maintain pipelines, tooling, GitOps, artifact management, cloud/container deployments, incident triage, and mentor teams to remove build/deployment friction.

The Partner Account Manager develops partner strategies, grows revenue, builds relationships, and coordinates contract negotiations with partners in the networking sector.

QA Engineer responsible for testing and validating wired or wireless networking and cloud systems. Tasks include troubleshooting production issues, root-cause analysis across network, OS, application and cloud layers, using containerization, cloud platforms, messaging middleware, observability tooling, and writing/debugging automation in Python/Java.

The Lab Network Engineer Intern will learn about networking protocols, assist with lab operations, and prepare for roles like Technical Support Engineer. The job emphasizes communication skills, technical aptitude, and a passion for technology.

Generate qualified sales opportunities by researching and prospecting target accounts, scheduling discovery meetings, qualifying prospects, and performing multi-channel outreach. Collaborate with Account Executives and Sales Leadership to build relationships and drive pipeline growth, using strong French language and phone skills.

Lead the design and development of machine learning solutions, overseeing the entire software development lifecycle and mentoring engineers. Drive innovation in Generative AI and high-performance systems.

The Senior QA Software Engineer is responsible for testing and validating networking protocols and cloud platforms, addressing customer issues, and utilizing programming skills in software development.

Provide Tier 2/3 technical support for partners and customers, troubleshoot complex networking issues (lab replication, debugging), escalate to engineering, document cases, develop SME knowledge, and mentor colleagues. Support delivered via phone, email, and web in both English and Japanese.

The role involves leading software development lifecycles for ML solutions, innovating in Generative AI, and collaborating on production-ready platforms that leverage AI-driven management.