Staff Forward Deployed Engineer (10567)
Extreme Networks
- Pay
- $160K to $200K
- a year
- Location
- Seattle, WA
- Work style
- Hybrid
- Job type
- Full time
- Posted
- Oct 7
- 10 days ago
Career path
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About the company
Extreme Networks
Computer software · 1,001 to 5,000 employees
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.
What you'll do
- 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.
What you need
- 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.
- 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.
Key skills
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