Quality Assurance Engineer – Optical Networks

Help shape the future of optical connectivity as a Quality Assurance Engineer in our Optical Networks R&D organization. You will join a multicultural, cross-functional Scrum team building advanced networking solutions for the AI-driven data center era, with quality embedded from requirements through delivery.

NILightpath

• Champion quality throughout the full product R&D lifecycle.

• Contribute actively to sprint planning, backlog refinement, daily scrums, reviews, and retrospectives.

• Collaborate with developers, product owners, and system architects to refine requirements, define acceptance criteria, identify risks early, and improve testability.

• Design, develop, and execute automated tests using Python and pytest, integrated into CI/CD pipelines and aligned with the team’s Definition of Done.

• Apply AI-assisted testing techniques, including test generation, synthetic test data, failure-pattern analysis, and coverage optimization.

• Continuously improve test strategies, automation frameworks, and Agile QA practices.

• • BSc or MSc in Computer Science, Telecommunications, Physics, or a related technical field.

  • Solid understanding of optical transmission fundamentals.

  • Proficiency in Python-based test automation and CI/CD integration.

  • Knowledge of or hands-on experience with AI/ML applications in software testing, such as AI-assisted automation, defect detection, test-result analysis, or coverage improvement.

  • Excellent troubleshooting and problem-solving skills.

  • Strong ownership, responsibility, and accountability.

  • Clear communication and effective collaboration across teams.

  • Fluency in written and spoken English.

  • Nice to have: ISTQB certification.

  • If you are passionate about quality, automation, and the potential of AI to transform testing, we would like to hear from you.