Automation Systems Engineering

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. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
As a global networking leader, learn why there’s no better time to join the Extreme team.
Director of SW Engineering -Exchange
Full time
Position reports to: Sr Director of SW Engineering
Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled.
Applicants must have legal authorization to work in the country where the role will be performed.
Do you want to help define how intelligent agents discover capabilities, use tools, collaborate across systems, and deliver meaningful outcomes for customers? Do you aspire to create global impact while tackling challenges at the intersection of AI, distributed systems, cloud platforms, security, and large-scale product engineering?
This is an incredible opportunity to work at the forefront of AI-driven networking, agentic automation, cloud-native platforms, and intelligent product experiences. You will help lead the development of a next-generation platform that enables an ecosystem of AI agents, tools, skills, and integrations designed to support highly scalable, secure, reliable, and adaptable enterprise use cases.
As a Technology Leader in the Gartner Magic Quadrant, Extreme is also deeply committed to fostering a culture that embraces diversity, inclusion, and equality in the workplace. We are driving a fundamental shift in how businesses manage wired and wireless networks by building high-performance, real-time systems that can perceive, reason, retrieve context, use tools, and take intelligent action on behalf of users. You will lead engineering teams working on strategic AI platform capabilities, including agent orchestration, tool and skill ecosystems, secure integration frameworks, scalable microservices, and enterprise‑grade runtime infrastructure. You will partner closely with product, architecture, security, cloud operations, and other engineering leaders to define the technical direction and deliver high-impact systems that are reliable, extensible, and built for long‑term scale.
Job Responsibilities Provide visionary technical and organisational leadership for teams building next-generation AI agent platforms, tool ecosystems, and cloud‑native services, including agent orchestration, tool invocation, skill discovery, workflow execution, context management, and governance.
Define and drive the engineering roadmap for highly scalable, secure, reliable, and extensible systems that enable AI agents, tools, skills, integrations, and enterprise workflows across Extreme’s product portfolio.
Build, mentor, and lead high‑performing teams, including hiring, performance management, developing leaders, and fostering a culture of strong engineering standards, accountability, and innovation.
Drive execution across multiple programs and teams, ensuring clear priorities, predictable delivery, effective risk management, and alignment with product, architecture, security, CloudOps, and senior leadership.
Guide complex architectural and technical decisions, including trade‑offs related to distributed systems, multi‑agent workflows, latency, reliability, cost efficiency, tenant isolation, data privacy, and platform extensibility.
Champion production readiness and operational excellence, including secure‑by‑design development, API consistency, observability, SLOs, capacity planning, resiliency, automation, and measurable quality outcomes.
Stay current with emerging AI and platform trends, including agent frameworks, MCPbased tooling, skill ecosystems, RAG patterns, LLM integration, evaluation, guardrails, and enterprise AI governance.
Basic Qualifications Bachelor’s degree in Computer Science, Engineering, Machine Learning, Mathematics, or a related technical discipline, or equivalent practical experience.
15+ years of software engineering experience, including 10+ years of engineering leadership experience and 5+ years managing managers or multiple engineering teams.
Proven track record of designing, delivering, and operating complex, high‑impact AI, ML, generative AI, automation, or intelligent software platforms.
Strong practical understanding of generative AI and agentic architectures, including LLM integration, Model Context Protocol, RAG, agents, tools, skills, orchestration, context/memory, evaluation, guardrails, observability, and policy controls.
Experience leading teams that build scalable, secure, and reliable cloud‑native AI or dataintensive services, with strong depth in distributed systems, microservices, APIs, and production operations.
Experience managing multiple concurrent programs and engineering teams in an Agile or iterative product development environment.
Preferred Qualifications MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Distributed Systems, or equivalent experience.
Experience with agentic AI platforms, AI agent frameworks, tool‑use systems, MCP‑style integrations, plugin ecosystems, workflow automation, developer platforms, or skill marketplaces.
Experience building or leading extensible platforms where multiple teams, services, or partners contribute capabilities through APIs, SDKs, plugins, tools, integrations, or developer‑facing interfaces.
Experience designing secure, governed platforms that support permissions, tenant isolation, auditability, rate limiting, policy controls, observability, and safe tool execution.
Experience with cloud platforms and modern infrastructure technologies such as AWS, Azure, GCP, Kubernetes, Docker, Kafka, SQL/NoSQL databases, search systems, vector databases, graph databases, or event streaming platforms.
Experience partnering with Product Management and Program Management to define strategy, clarify requirements, manage trade‑offs, and deliver customer‑facing platform capabilities.
Come work with a team of highly talented engineers and scientists and help define the next generation of AI-driven networking experiences. Equal Employment Opportunity Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active‑duty wartime or campaign badge veterans, and Armed Forces service medal veterans.
Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. Fair chance and background checks Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance. Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation.
The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay upon hire. In addition to base pay, this role is eligible for a performance‑based bonus and the full benefits package described below. Extreme Networks offers a comprehensive benefits package. Medical, dental, and vision insurance
Flexible work schedules and work-from-home opportunities where role permits
Paid holidays in accordance with local practice
Retirement savings programs, including 401K matching in the United States
Employee Stock Purchase Program, where eligible
Flexible spending accounts, where eligible
Employee assistance program
Tuition reimbursement, where eligible
Life and disability insurance
Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., Whether blatant or hidden, barriers to success have no place at Extreme Networks.

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