Nokia

Software QA & Automation Specialist

Nokia Bangalore, Karnataka, India

Telecommunications · 1,001-5,000 employees

3 d ago
qa Senior (5-10 yrs) Full-time India
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About the role

You will lead the design, testing, and automation of functional and non-functional validations for cloud-native, microservices-based solutions. Additionally, you will drive the end-to-end quality engineering strategy and mentor teams to champion a quality-first culture.

What they look for

Test Automation Quality Engineering Cloud-native Applications Kubernetes OpenShift Microservices Distributed Systems Kafka ClickHouse VictoriaMetrics Observability OpenTelemetry Telecom Network Management Golang CI/CD Agentic AI

Requirements

Candidates must have an engineering degree and 8+ years of experience in test automation and quality engineering for cloud-native systems. Expertise in distributed systems, observability platforms, and telecom network management standards is required.

Full description

We are looking for a Software QA & Automation Specialists with 8+ years of experience to drive the end-to-end quality engineering strategy for the Core Management System functional areas. You will lead the design, test and automation of functional and non-functional validations and quality initiatives across cloud-native, microservices-based solutions, ensuring the delivery of scalable, resilient, and high-quality products. The ideal candidate combines strong technical depth with leadership capabilities, driving modern automation practices, mentoring teams, and championing a quality-first culture. Experience with CI/CD, observability, distributed systems, and emerging AI-powered automation frameworks is highly desirable.

Join Nokia’s Autonomous Networks engineering team building a next-generation Core Network Management System that helps telecom operators proactively prevent network failures and significantly reduce Mean Time to Resolve (MTTR). Our cloud-native platform ingests and processes massive-scale telemetry, performance, fault, configuration, and operational data from thousands of network functions. Leveraging Kubernetes, microservices, data lake architecture, AI/ML-driven analytics, automated Root Cause Analysis (RCA), anomaly detection, and predictive insights, the platform enables real-time monitoring, diagnosis, troubleshooting, and remediation recommendations. The system is built using modern technologies including Golang, OpenShift, OpenTelemetry, React based UI, ClickHouse, VictoriaMetrics, Kafka, and Agentic AI frameworks to build scalable, intelligent, and highly resilient telecom solutions.

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