Staff Forward Deployed Engineer (10567)

Extreme Networks • Seattle, WA

19d • Hybrid

About The Position

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.

Forward Deployed Engineers at Extreme are software engineers who work directly with strategic customers to jointly design, build, validate, and deploy solutions to complex business and technical problems using Extreme's products and platforms. FDEs operate in real customer environments and own technical outcomes from discovery and solution design through implementation, deployment, and production readiness. The solutions they build must meet demanding requirements for scalability, security, reliability, observability, and operational safety. This is a deeply technical and hands-on engineering organization. FDEs work directly with customers to understand complex problems and design, build, deploy, and stabilize production solutions using Extreme's products and platforms. They write production software, solve complex systems and integration problems, and own technical outcomes from solution design through production readiness. FDEs also identify platform gaps and define new feature requirements, working with Product teams to incorporate recurring customer needs into Extreme's products and platforms.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.
• 8+ years of experience across the software development lifecycle, including architecture, design, implementation, testing, deployment, and production operations.
• Strong hands-on software development experience with proficiency in one or more general-purpose programming languages such as Python, Java, Go, TypeScript, C#, or C++.
• Significant experience designing and delivering distributed, cloud-based, or enterprise software systems.
• Experience building production solutions involving AI, automation, data, networking, enterprise integrations, cloud infrastructure, or comparable complex technology domains.
• Strong systems, API, integration, debugging, and software architecture skills.
• Experience taking complex technical solutions from initial requirements and architecture through production deployment.
• Demonstrated ability to operate effectively in ambiguous environments and translate complex problems into pragmatic engineering solutions.
• Experience providing technical leadership through design reviews, architecture decisions, code reviews, or mentoring.
• Experience working directly with customers, partners, or external technical teams.
• Strong written and verbal technical communication skills.
• Ability to travel to customer sites as required by the engagement.

Nice To Haves

• Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline.
• Experience building production generative AI or agentic systems involving tool use, retrieval, planning, orchestration, context management, evaluation, or guardrails.
• Experience with Model Context Protocol (MCP) and modern agent frameworks.
• Experience with networking, network management, telemetry, observability, or distributed systems.
• Experience with cloud-native infrastructure, Kubernetes, containers, infrastructure-as-code, and CI/CD.
• Experience integrating enterprise identity systems, data platforms, APIs, and operational systems.
• Experience with distributed data platforms, streaming systems, or real-time processing.
• Prior experience in Forward Deployed Engineering or another deeply technical customer-facing software engineering role.

Responsibilities

• Lead technical discovery with customer engineering teams to understand workflows, systems, data, technical constraints, and desired outcomes.
• Own the architecture and technical delivery of complex customer solutions from solution design through production readiness.
• Write production-quality software and build agents, applications, APIs, integrations, data connectors, tools, skills, workflows, automation, and supporting services as required by the solution.
• Integrate Extreme's products and platforms with customer data sources, identity systems, enterprise applications, APIs, infrastructure, and operational workflows.
• Make architecture and design decisions across applications, AI, data, integrations, security, infrastructure, deployment, and operations.
• Design and implement appropriate testing, evaluations, guardrails, security controls, deployment automation, observability, and operational mechanisms.
• Build solutions that meet production requirements for reliability, scalability, security, performance, maintainability, and cost.
• Diagnose and resolve complex problems across software, AI, data, integrations, networking, and infrastructure.
• Lead technical design and code reviews and provide engineering guidance to engineers working on customer engagements.
• Drive solutions through deployment and stabilization, ensuring agreed production-readiness criteria are met.
• Create technical documentation, architecture guidance, operational runbooks, and other artifacts required to operate and maintain delivered solutions.
• Identify reusable architectures, components, integrations, tools, skills, automation, and engineering patterns that can accelerate future customer deployments.
• Identify platform gaps and define new feature requirements, working with Product teams to incorporate recurring customer needs into Extreme's products and platforms.
• Mentor engineers and contribute to engineering standards and practices across the FDE organization.

Benefits

• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior