Senior Director of Engineering: AI-Driven Network OS

Extremenetworks

San Jose (CA)

On-site

USD 250,000 - 450,000

Full time

14 days+
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Job summary

Extreme Networks is seeking a Senior Director of Engineering to shape strategy and deliver next-generation Network OS for switching and routing infrastructure. You will lead AI-assisted development, build high-performing, globally distributed teams, and ensure high-quality, metrics-driven outcomes at scale.

The ideal candidate combines deep networking domain expertise with modern software leadership and a track record of adopting AI/ML to accelerate productivity and product quality in

Qualifications

  • 20+ years of engineering experience with at least 5+ years in senior leadership roles.
  • 7+ years leading large, global engineering teams.
  • Proven expertise in networking technologies including data center and enterprise solutions.
  • Demonstrated success delivering high-quality, scalable products using metric-driven approaches.
  • Hands-on experience driving adoption of AI-assisted software development tools and practices.

Responsibilities

  • Define and execute engineering strategy for Next-gen Network OS with AI-assisted practices.
  • Lead and mentor globally distributed teams, driving innovation and accountability.
  • Align roadmaps with product, architecture, and customer needs; manage expectations and outcomes.
  • Establish quality, reliability, and performance standards; promote data-driven execution.
  • Drive delivery across multiple product lines with robust CI/CD and DevSecOps practices.

Skills

Networking
AI-driven leadership
Global team leadership
DevOps/DevSecOps
Strategic planning

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

CI/CD pipelines
DevSecOps tools

Job description

Extreme Networks is seeking a Senior Director of Engineering to shape strategy and deliver next-generation Network OS for switching and routing infrastructure. You will lead AI-assisted development, build high-performing, globally distributed teams, and ensure high-quality, metrics-driven outcomes at scale.

The ideal candidate combines deep networking domain expertise with modern software leadership and a track record of adopting AI/ML to accelerate productivity and product quality in

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