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