Senior Director of Engineering - Next-generation Network OS for Switching and routing Infrastructure-10393

Extreme Networks
San Jose, CA, United States
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$250,000.0 - $310,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Automation of Tests Network Operating System (NOS) Cloud Engineering Code Generation Software Quality Data Centers DevOps Distributed Systems Iterative and Incremental Development Software Tools Value Engineering
+8 more
System Availability Delivery Pipeline Mttr Information Technology Data Analytics Routing & Switching Devsecops Microservices

Job description

Leadership Profile & Strategy

  • Define and execute engineering strategy for Next-gen Network OS

  • Lead and mentor globally distributed engineering teams, fostering a culture of innovation, accountability, and operational excellence

  • Partner with Product, Architecture, and Customer Success teams to align roadmaps with business goals and customer needs

  • Drive organisational transformation toward AI-assisted engineering practices

  • Strategic thinker with strong execution focus

  • Data-driven decision-maker

  • Passion for innovation and continuous improvement

  • Collaborative and influential across organisational boundaries

  • Strong advocate for engineering excellence and customer value

Engineering Excellence

  • Establish and enforce quality, reliability, and performance standards

  • Champion modern, data-driven engineering practices, leveraging delivery performance, developer experience, and AI-assisted productivity metrics to drive continuous improvement and high-quality outcomes

  • Foster a fail-fast, learn-fast culture by encouraging rapid experimentation, iterative development, and quick feedback loops to accelerate innovation while minimizing risk

  • Promote blameless postmortems and continuous learning to improve systems, processes, and team effectiveness

AI-Driven Development

  • Lead adoption of AI-assisted development tools (e.g., code generation, automated testing, observability, and incident response automation)

  • Integrate AI/ML into engineering workflows to:

  • Accelerate development velocity

  • Improve code quality and defect detection

  • Enhance operational insights and automation

  • Promote best practices for responsible and secure use of AI in engineering

Delivery & Execution

  • Drive predictable and high-quality software releases across multiple product lines

  • Ensure programs are delivered on time, within scope, and aligned with strategic objectives

  • Establish robust CI/CD pipelines and DevSecOps practices

  • Continuously improve engineering processes based on data and feedback

Stakeholder Management

  • Communicate effectively with executive leadership and cross-functional stakeholders

  • Provide regular updates on roadmap execution, risks, and performance metrics

Requirements

  • 20+ years of engineering experience, with 5+ years in senior leadership roles

  • 7+ years leading large, global engineering teams, including India-based and US-based organizations.

  • Proven expertise in networking technologies, including Data centre, Enterprise solutions.

  • Demonstrated success leading large-scale, distributed engineering teams

  • Strong track record of delivering high-quality, scalable products using metric-driven approaches

  • Hands-on experience driving adoption of AI-assisted software development tools and practices

  • Deep understanding of cloud-native architectures, microservices, and distributed systems

  • Experience with DevOps/DevSecOps frameworks and CI/CD pipelines

Preferred Quaifications

  • Familiarity with observability, telemetry, and data-driven operations

  • Knowledge of security principles related to networking and infrastructure

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Key Success Metrics

  • Improvement in engineering velocity and predictability

  • Reduction in production defects and MTTR

  • Adoption rate and impact of AI-assisted development tools

  • Platform reliability, scalability, and customer satisfaction (SLAs, NPS)

  • Employee engagement and retention within engineering teams

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:34 min

Pivoting careers into specialized platform engineering roles

Xavier Portilla Edo · LIVE

1:15 min

Key lessons learned from implementing automated mobile DevSecOps

Moataz Nabil Moataz Nabil · LIVE

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:08 min

Aligning engineering processes with core business impact metrics

Chris Riley · World Congress 2021

2:09 min

Shifting security left using the DevSecOps approach

Aarno Aukia · LIVE

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

Videos

See all

Related articles

See all