Jobs at Extreme Networks

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.

Provides full-time technical design, deployment, troubleshooting, and support for customer networking environments in Japan. Acts as technical lead and trusted advisor, resolving Layer 2/3 switching, routing, and SD-WAN issues. Responsibilities include onsite troubleshooting, lab replication, solution validation, vulnerability and bug reporting, customer training, implementation planning, UAT definition, and coordination with sales, engineering, product teams, partners, and global technical support.

Technically lead a sustenance engineering team maintaining and enhancing network automation and orchestration products. Own defect resolution, product enhancements, releases, design, coding, testing, debugging, root-cause analysis, and production issue resolution. Collaborate across product, development, QA, support, and engineering teams while mentoring engineers and improving automation, code quality, and testing practices. Build and support cloud-native microservices using Java or Golang, containers, Kubernetes, databases, messaging systems, and network protocols.

Lead the architecture and development of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic AI systems for intelligent networking. Drive the full software lifecycle from design through production operations, establish technical direction, mentor engineers, and improve system reliability, security, observability, performance, and scalability.

Lead the architecture and development of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic systems for intelligent networking. Drive the full software lifecycle, establish technical direction, mentor engineers, and ensure production systems are secure, observable, resilient, and highly performant.

Leads the architecture, development, deployment, and operation of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic AI systems. Defines technical strategy, builds secure and observable production services, processes high-volume network data, and mentors engineers. The role requires hands-on software engineering leadership across the full lifecycle, including design, coding, testing, cloud deployment, operations, and technical reviews.

Lead the technical vision, architecture, development, testing, deployment, and operations of scalable AI infrastructure, distributed microservices, real-time data platforms, and agentic AI systems. Build secure, resilient, observable services processing high-volume network data; guide technical strategy, improve engineering practices, and mentor engineers. Translate complex technical challenges into production-ready solutions across intelligent networking, cloud platforms, analytics, and automation.

Leads the architecture, development, deployment, and operation of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic systems for intelligent networking. Drives technical vision, builds secure and observable production services, mentors engineers, leads technical discussions, and improves system reliability and performance. Requires extensive software engineering and distributed systems experience, proficiency in a general-purpose programming language, cloud expertise, and familiarity with AI, stream processing, network telemetry, or large-scale analytics.

Lead the architecture, development, testing, deployment, and operation of scalable AI infrastructure, distributed microservices, real-time data pipelines, and agentic AI systems. Define technical vision, build secure and observable production services, process high-volume network data, mentor engineers, and guide technical strategy across intelligent networking and cloud-native platforms.

Lead the architecture and development of scalable, secure, observable AI infrastructure, distributed microservices, real-time data pipelines, and agentic systems for intelligent networking. Drive technical vision, software delivery, system reliability, and operational excellence while mentoring engineers. Build production platforms processing high-volume network and operational data, integrating cloud infrastructure, machine learning, telemetry, and automation capabilities.

Lead the architecture, development, testing, deployment, and operation of scalable AI infrastructure, distributed microservices, real-time data platforms, and agentic AI systems. Define technical vision, build secure and observable high-performance services, process large-scale network data, and integrate intelligent networking capabilities. Mentor engineers, lead technical discussions and reviews, improve system reliability and performance, and translate complex technical challenges into production-ready solutions.

Supports enterprise networking solution sales across the ANZ region by designing, presenting, demonstrating, and validating wired, wireless, cloud-managed, SD-WAN, and data center architectures. Leads discovery sessions, proof-of-concepts, technical assessments, and workshops; troubleshoots complex customer environments; analyzes network traffic; supports automation and testing with scripting; and communicates customer feedback to product and engineering teams.

Acquires and develops customers across Scandinavia, builds sales pipeline, generates new business, and expands existing accounts through upselling and cross-selling. Manages leads, customer relationships, meetings, quotes, CRM records, and the process from quotation through booking. Coordinates with operations, reports to the country manager, communicates product and service updates, and represents the company at trade shows and conferences. Strong Norwegian and/or Swedish speaking skills are required.

Acquires and develops customers across assigned territories, building pipeline, winning new-logo business, and expanding existing accounts through upselling and cross-selling. Manages customer meetings, leads, quotes, CRM records, bookings, and service communications. Collaborates with operations and partners, reports to the country manager, and represents the company at trade shows and conferences. Strong Norwegian and/or Swedish speaking skills are required, along with direct end-user engagement and willingness to travel.

Prospect and close new business, expand existing accounts, and achieve sales quotas for Extreme Networks’ networking solutions. The role manages outbound prospecting, pipeline development, forecasting, business planning, presentations, and solution-based selling. It builds relationships with customers, internal teams, and channel partners while positioning the company’s wired, wireless, network management, and security offerings. Candidates should be self-directed, coachable, persuasive, organized, and willing to travel as needed.

Design and optimize an enterprise MarTech stack with AI-ready platforms, intelligent agents, and automated campaign workflows. Lead integrations, migrations, solution assessments, technology roadmaps, architecture governance, and platform optimization. Partner with marketing, product, content, web, and engineering teams to deliver scalable solutions. The role requires deep MarTech expertise, AI/ML implementation experience, agent-based architectures, LLM integration, API and data architecture skills, cloud infrastructure knowledge, and experience with Adobe Workfront or comparable tools.

Build and deploy AI agents for marketing workflows, administer and optimize Marketo programs and campaigns, maintain MarTech integrations with CRM, CMS, and data platforms, and troubleshoot technical issues. The role translates marketing requirements into technical solutions, documents configurations, trains users, and supports campaign operations across US time zones.

Build and scale partner readiness across APAC by developing onboarding frameworks, delivering technical and sales training, supporting certifications, enabling partner tools and programs, and assisting with solution design, demonstrations, and proof-of-concepts. The role collaborates across sales, engineering, marketing, services, and channel teams to improve partner competency, adoption, pipeline, revenue, and retention.

Build and scale partner readiness across APAC by developing onboarding frameworks, delivering technical and sales training, supporting certifications, enabling partner tools and programs, and assisting with solution design, demonstrations, and workshops. The role collaborates across sales, engineering, marketing, services, product, and channel teams; tracks readiness and adoption metrics; supports partner business plans; and drives partner-generated pipeline, revenue growth, and ecosystem development.

Leads North American Cloud Operations teams responsible for reliable, secure, scalable production services across AWS, GCP, and Azure. Oversees multi-cloud infrastructure, networking, middleware, data services, incident escalation, root-cause resolution, compliance, observability, automation, and operational improvements. Builds and mentors the Cloud Operations organization while ensuring 24/7 global support and cross-functional collaboration.