The NAP – Network Test Automation Development Engineer is responsible for building scalable and intelligent test automation solutions for complex network systems. This role blends deep networking expertise with modern automation, CI/CD, and AI/ML techniques to ensure high quality, reliability, and faster delivery of carrier‑grade, cloud‑native network products.
Responsibilities- Design, develop, and maintain scalable automation frameworks for functional, regression, performance, and end‑to‑end network testing.
- Develop automated test suites using Python, Java, or Go with frameworks such as Robot Framework, pytest, and Selenium.
- Integrate automated tests into CI/CD pipelines to enable continuous testing and faster release cycles.
- Apply AI/ML techniques for intelligent test case generation, anomaly detection, predictive defect analysis, and self‑healing automation.
- Analyze large volumes of test and network data to identify patterns, trends, and quality risks.
- Develop AI‑driven tools for network test data analysis, insights, and visualization.
- Collaborate with development, product, and QA teams to ensure testability and timely defect resolution.
- Contribute to test strategy, code reviews, design discussions, and maintain automation documentation.
You have:
- 7+ years of experience with strong programming skills in Python, Java, or Go for test automation and tool development.
- Hands‑on experience with test automation frameworks such as Robot Framework, pytest, Selenium, and Postman.
- Solid understanding of network protocols and architectures (TCP/IP, IP/MPLS, Routing & Switching, SDN/NFV, 4G/5G).
- Experience with CI/CD tools and DevOps practices (Jenkins, GitLab CI, or similar).
- Practical understanding of AI/ML concepts applied to automation or data analysis.
- Exposure to ML libraries such as TensorFlow, PyTorch, or scikit‑learn.
- Familiarity with cloud platforms and container technologies (AWS/Azure/GCP, Docker, Kubernetes).
- Strong analytical, problem‑solving, communication, and cross‑functional collaboration skills.
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.
- Flexible and hybrid working schemes
- A minimum of 90 days of Maternity and Paternity Leave, with the option to return to work within a year following the birth or adoption of a child (based on eligibility)
- Life insurance to all employees to provide peace of mind and financial security
- Well-being programs to support your mental and physical health
- Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions to support your personalized career & skills development
- Diverse pool of Coaches & Mentors to whom you have easy access
- A learning environment which promotes personal growth and professional development - for your role and beyond
Skills Required
- 7+ years experience with Python, Java, or Go for test automation and tool development.
- Hands-on experience with test automation frameworks such as Robot Framework, pytest, Selenium, and Postman.
- Solid understanding of network protocols and architectures (TCP/IP, IP/MPLS, Routing & Switching, SDN/NFV, 4G/5G).
- Experience with CI/CD tools and DevOps practices (Jenkins, GitLab CI, or similar).
- Practical understanding of AI/ML concepts applied to automation or data analysis.
- Exposure to ML libraries such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms and container technologies (AWS, Azure, GCP, Docker, Kubernetes).
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
Nokia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.
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Equity Value & Accessibility — Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
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Healthcare Strength — Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
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Parental & Family Support — A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.
Nokia Insights
What We Do
At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.
