About the Role
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
Responsibilities
- 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.
Requirements
- 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.
A candidatura é feita diretamente no site da empresa — sem intermediários, sem black boxes.
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