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

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.

Role Overview

We are seeking a Senior Director of Engineering to lead the strategy, development, and delivery of next-generation Network OS for Switching and routing Infrastructure. This leader will drive innovation through AI-assisted development practices, build high-performing teams, and ensure consistent delivery of high-quality, metrics-driven outcomes at scale.

The ideal candidate brings deep domain expertise in networking infrastructure combined with modern software development leadership and a strong track record of adopting AI/ML tools to accelerate engineering productivity and product quality.

Key Responsibilities

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

Represent engineering in customer and partner engagements.

Qualifications Required

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

$250,000 - $310,000 a year

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.

We encourage people from underrepresented groups to apply. Come Advance with us! 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., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.