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
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
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.
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