Staff Software QA Engineer
Nokia
In an increasingly connected world, the pandemic has highlighted just how essential telecom networks are to keeping society running. The Network Infrastructure group is at the heart of a revolution to connectivity, pushing the boundaries to deliver more and faster network capacity to people worldwide through our ambition, innovation, and technical expertise
Join Optical Networks division, where innovation meets scale in the AI-driven data center era. With the recent acquisition of Infinera, we’ve united two industry leaders to create an optical networking powerhouse—combining cutting-edge technology with proven leadership to redefine the future of connectivity.
The Staff Quality Assurance Engineer is a core member of a cross‑functional Scrum team, driving the overall quality strategy for advanced Nokia optical networking solutions. In this senior role, you will influence product architecture, guide best‑in‑class test practices, and ensure quality is embedded throughout the entire R&D lifecycle. You will mentor team members, lead complex quality initiatives, and contribute to continuous improvement across multiple Agile teams in a multicultural, collaborative environment.
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
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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.
The Staff Quality Assurance Engineer is a core member of a cross‑functional Scrum team, driving the overall quality strategy for advanced Nokia optical networking solutions. In this senior role, you will influence product architecture, guide best‑in‑class test practices, and ensure quality is embedded throughout the entire R&D lifecycle. You will mentor team members, lead complex quality initiatives, and contribute to continuous improvement across multiple Agile teams in a multicultural, collaborative environment.
- Strong understanding of optical transmission fundamentals and system-level networking concepts.
- Advanced proficiency in Python-based test automation, including pytest, object‑oriented test design, and CI/CD integration.
- Experience with AI/ML techniques applied to software quality, including:
- AI-assisted test automation
- Intelligent defect detection or result interpretation
- AI-driven methods to scale test coverage or accelerate regression
- Proven ability to lead quality initiatives, influence design decisions, and collaborate effectively with developers, product owners, and architects.
- Strong communication skills, including the ability to guide discussions, document strategies, and share knowledge across teams.
- High degree of ownership, accountability, and proactive problem-solving.
Requirements
- MSc or BSc in Computer Science, Telecommunications, Physics, or related technical field.
- Fluency in English, both written and spoken.
- ISTQB certification is considered an advantage.
- Demonstrated experience in large-scale automation, test frameworks, or AI-assisted testing.
- Strong commitment to continual learning and applying emerging technologies to improve software quality.
The position covers the full Product R&D lifecycle, including:
- Active participation in Agile ceremonies such as sprint planning, backlog refinement, daily scrums, reviews, and retrospectives—bringing a strong quality mindset to requirement analysis, design discussions, acceptance criteria definition, early risk identification, and overall testability.
- Design, development, and execution of automated tests using Python and pytest, fully aligned with the team’s Definition of Done.
- Application of AI‑assisted testing techniques, including LLM‑supported test design, automated test generation, synthetic test data creation, and failure pattern analysis to enhance coverage, regression efficiency, and feedback speed.
- Continuous improvement of test strategies and QA practices, including contributions to automation frameworks and modernization of Agile quality processes.