DIR OF SW SYSTEMS ENGINEERING -10378

United States·SeattleFulltimeexecutive

OtherDirectorSystems

2 views0 saves0 applied

Apply Now

Quick Summary

Overview

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions.

Technical Tools

OtherDirectorSystems

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. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.

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.

Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.

Responsibilities

~1 min read

• 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.

Requirements

~2 min read

• 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.

• Strong communication skills with the ability to engage effectively with executives, product leaders, architects, senior engineers, security teams, and cross-functional stakeholders.

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. Advance with us to achieve new heights every

day.

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. We encourage people from underrepresented groups to apply.

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. An applicant's conviction history will not be considered until after a conditional offer of employment has been made. Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken.
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.