NAP Network Test Automation Development Manager

Job Description

The Network Test Automation Engineering Manager leads and drives the test automation strategy for complex network products and end‑to‑end solutions. This role combines technical depth, people leadership, and strategic ownership to deliver scalable automation frameworks, AI/ML‑driven testing solutions, and continuous quality improvements across carrier‑grade, cloud‑native network platforms.

How You Will Contribute And What You Will Learn

• Lead, mentor, and manage a team of test automation engineers, fostering a culture of innovation, collaboration, and continuous improvement.
• Own team performance management, including goal setting, feedback, coaching, and career development.
• Define and execute the test automation strategy and roadmap aligned with product and business objectives.
• Architect and govern scalable, robust automation frameworks and testing tools for network solutions.
• Oversee development and execution of automated tests for functional, performance, scalability, and regression testing.
• Drive integration of test automation into CI/CD pipelines and DevOps workflows.
• Lead adoption of AI/ML techniques for intelligent testing, anomaly detection, predictive defect analysis, and self‑healing automation.
• Monitor quality metrics, report automation progress and defect trends, and ensure compliance with quality standards.
  
  

Key Skills And Experience

You Have:

• 10+ years of experience, including 3–5 years in a technical leadership or people management role within test automation or quality engineering.
• Strong expertise in network technologies (IP/MPLS, SDN/NFV, 4G/5G, LTE, Ethernet, Optical and Fixed Networks).
• Proven experience designing and scaling test automation frameworks using Python, Java, or Go with tools such as Robot Framework, Selenium, and pytest.
• Solid understanding of CI/CD pipelines and DevOps practices.
• Hands‑on experience with cloud and container platforms (AWS, Azure, GCP, Docker, Kubernetes).
• Practical experience or strong understanding of AI/ML applications in testing, data analysis, or network operations.
• Strong leadership, communication, stakeholder management, and decision‑making skills.
• Excellent analytical, problem‑solving, and multi‑project management capabilities.
  
  

About Us

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we're advancing connectivity to secure a brighter world.

Learn more about life at Nokia .

Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you're interested in this role but don't meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia .

About The Team

Some of our benefits in India:

• Flexible and hybrid working arrangements to support work–life balance
• Health and well-being support – medical insurance for you and your family, health check-ups, life and accident insurance, well-being programs, and employee resource groups
• A minimum of 90 days of Maternity and Paternity Leave based on eligibility
• Personal Support Service 24/7 – a confidential support channel open to all Nokia employees and their families in challenging situations
• Career growth & mobility – technical career paths, job rotations, international assignments, and relocation support
• Continuous learning – technical certifications, mentoring programs, coaching, and digital learning platforms
• Opportunities to innovate and contribute through Nokia's research and development environment
• Recognition programs that celebrate outstanding contributions
• Workplace support – ergonomic working support and mobile device programs based on eligibility