{"id":2691683,"url":"https://alion.io/job/nokia-nap-network-test-automation-development-engineer-6","title":"NAP Network Test Automation Development Engineer","company":{"id":17345,"name":"Nokia","domain":"nokia.com","url":"https://alion.io/company/nokia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":97,"open_postings":60,"ghost_share":0.033,"stale_share":0.183,"repost_share":0.1,"time_to_fill_p50_days":5,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Networking","role_family":"Networking","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":42000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":600},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"GitLab CI","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"MPLS","optional":false},{"name":"Postman","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Robot Framework","optional":false},{"name":"Selenium","optional":false},{"name":"Self-Healing","optional":false},{"name":"TCP/IP","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-16T05:13:24Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T18:34:22Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"As Network Test Automation Development Engineer is responsible for designing and developing scalable, intelligent test automation solutions for complex network systems. This role combines strong networking expertise with modern automation, CI/CD, and AI/ML technologies to ensure high quality, reliability, and faster delivery of carrier-grade, cloud-native network products.\n Design, develop, and maintain scalable automation frameworks for functional, regression, performance, and end-to-end network testing.\nDevelop automated test suites using Python, Java, or Go with frameworks such as Robot Framework, pytest, and Selenium.\nIntegrate automated tests into CI/CD pipelines to enable continuous testing and faster release cycles.\nApply AI/ML techniques for intelligent test case generation, anomaly detection, predictive defect analysis, and self-healing automation.\nAnalyze large volumes of test and network data to identify patterns, trends, and quality risks.\nDevelop AI-driven tools for network test data analysis, insights, and visualization.\nCollaborate with development, product, and QA teams to ensure testability and timely defect resolution.\nContribute to test strategy, code reviews, design discussions, and maintain automation documentation.\n You have:\nBachelor degree with 8-12 years of relevant experience. 7+ years of experience with strong programming skills in Python, Java, or Go for test automation and tool development.\nHands-on experience with test automation frameworks such as Robot Framework, pytest, Selenium, and Postman.\nSolid understanding of network protocols and architectures (TCP/IP, IP/MPLS, Routing & Switching, SDN/NFV, 4G/5G).\nExperience with CI/CD tools and DevOps practices (Jenkins, GitLab CI, or similar).\nIt would be nice if you also had:\nPractical understanding of AI/ML concepts applied to automation or data analysis.\nExposure to ML libraries such as TensorFlow, PyTorch, or scikit-learn.\nFamiliarity with cloud platforms and container technologies (AWS/Azure/GCP, Docker, Kubernetes).\nStrong analytical, problem-solving, communication, and cross-functional collaboration 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