Quality Assurance Engineer (Python & AI-Driven Testing)
About this role
In an increasingly connected world, telecom networks are the backbone of global connectivity. By joining the Optical Networks division (recently strengthened by the acquisition of Infinera), you’ll be at the forefront of a team delivering high-capacity network solutions in the AI-driven data center era.
As an Quality Assurance Engineer, you will be an essential member of a cross-functional Scrum team. We don't just "test code at the end"—we embed quality into the product right from the design phase.
Whether you're a recent graduate or at the start of your tech career, we provide the mentorship, tooling, and environment for you to master automated testing, Python coding, and cutting-edge AI quality frameworks.
Learn Automation & AI Testing: You won't just run manual tests—you'll learn to build modern Python automation suites and leverage LLMs/AI utilities for test generation and defect analysis.
Mentorship & Growth: Work closely with senior developers, system architects, and testers who will help you build a solid engineering foundation.
Real Agile Experience: Participate in every step of the R&D software lifecycle within a supportive, international Scrum team.
Agile & Quality Mindset: Join daily scrums, sprint planning, and reviews, bringing fresh perspectives to requirement analysis and testability.
Python Test Automation: Design, write, and maintain automated test scripts using Python and pytest aligned with CI/CD practices.
AI-Assisted Testing: Learn and apply AI-driven testing techniques (using LLMs for test case design, pattern analysis, and automated test data generation).
Troubleshooting: Work on root-cause analysis to help developers fix complex system bugs efficiently.
Core Essentials:
Education: BSc or MSc in Computer Science, Telecommunications, Physics, or a related technical field (graduates/final-year students welcome).
Programming Basics: Good foundations in Python (academic projects, internships, or personal projects are valid!).
Problem-Solving Spirit: Curiosity, logical thinking, and strong troubleshooting abilities.
Communication: Fluency in English and eagerness to collaborate in a multi-cultural team environment.
Growth Mindset: High interest in software quality, test automation, and using AI tools to work smarter.
Nice-to-Haves (Not mandatory – you’ll learn this with us!):
Familiarity with pytest or Linux environments.
Academic exposure or interest in optical networks, telecommunications, or networking protocols.
Exposure to ISTQB concepts or AI/ML basic concepts.
What We Offer:
A structured onboarding process with dedicated mentors to get you up to speed.
Hands-on experience with modern CI/CD, Python testing, and AI tools.
A flexible, hybrid working setup in Portugal.
Clear avenues for long-term career growth within a global technology leader.
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.
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.
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