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Nokia Group in Bengaluru (hybrid) is seeking a Network Test Automation Development Engineer to build scalable automation for complex network systems. You will blend networking expertise with modern automation, CI/CD, and AI/ML to deliver carrier-grade, cloud-native products.
With 7+ years of programming in Python/Java/Go, you will design automated test suites, integrate tests into CI/CD, and utilize AI/ML for intelligent test generation and anomaly detection.
India (Hybrid)
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.
You have:
Some of our benefits:
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.
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.
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At Nokia, we want every candidate to be able to perform their best. If you need any adjustments or support during the recruitment process, please let us know. All requests are treated confidentially.
AI Statement: Nokia embraces the strategic use of Artificial Intelligence (AI) within our recruiting process to enhance the candidate experience and significantly improve our operational efficiencies. By leveraging AI-powered tools, we aim to create a more responsive and equitable journey for all applicants. Concurrently, we advocate for the intelligent, ethical, and safe use of AI by candidates and applicants when preparing and submitting their applications for our roles. This includes ensuring that any AI-generated content is thoroughly reviewed for accuracy, originality, and relevance, and that its use aligns with principles of transparency and integrity. Our goal is to foster a recruitment environment that benefits from technological advancements while upholding fairness, authenticity, and human oversight.