Staff Forward Deployed Engineer (10567)

Key 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.

Basic Qualifications

• 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.

Preferred Qualifications

• 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.