About The Position

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.

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

Nice To Haves

  • 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

Responsibilities

  • 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
  • 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
  • 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
  • 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
  • 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.

Benefits

  • 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.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service