We are seeking talented Software QA & Automation Engineers with 5+ years of experience and a passion for delivering high-quality, cloud-native software solutions. In this role, you will design, develop, and execute test automation solutions for cutting-edge applications in the observability domain, leveraging modern testing frameworks, cloud-native technologies, and automation tools. You will collaborate closely with development, product, and operations teams to ensure product quality, reliability, performance, and scalability while driving continuous improvement in test automation and quality engineering practices within an agile environment.
ResponsibilitiesDesign, develop, and enhance test automation frameworks and quality engineering solutions for cloud-native observability platforms, ensuring product quality, reliability, and scalability.
Own end-to-end quality validation activities, from test strategy and test design to automation, execution, reporting, and release readiness.
Drive automation-first testing practices across CI/CD pipelines to accelerate delivery, improve release confidence, and reduce manual effort.
Identify, analyze, and track software defects, collaborating closely with engineering teams to ensure timely resolution and continuous quality improvements.
Leverage AI-assisted testing and engineering productivity tools to improve test coverage, accelerate defect discovery, and enhance overall testing effectiveness.Collaborate with developers, product management, and DevOps teams to embed quality throughout the software development lifecycle while driving continuous improvements in quality engineering practices and Agile delivery processes.
You Have:
Engineering degree with 5+ years of experience in software testing and quality engineering.
Strong experience in test automation development using Java, Python, Go, or similar programming languages, including building scalable automation frameworks.
Hands-on experience testing cloud-native applications deployed on Kubernetes/OpenShift, including microservices-based and distributed systems architectures.
Strong knowledge of API, integration, system, and end-to-end testing using modern automation tools and frameworks.
Experience implementing and maintaining CI/CD-driven test automation using tools such as Jenkins, Git, Helm, and containerized deployment pipelines.
Experience testing data-intensive and event-driven systems involving Kafka, databases, ETL pipelines, and large-scale data processing workflows.
Strong defect management, troubleshooting, test analysis, and Root Cause Analysis (RCA) skills for complex distributed applications. Experience working in Agile/Scrum environments with strong collaboration skills and a quality-first mindset.
Nice to Have
Good understanding of observability and telemetry concepts, including metrics, logs, traces, and validation of monitoring and analytics platforms.
Exposure to AI-assisted testing tools, intelligent automation practices, or AI/ML-driven quality engineering approaches.
Experience working with telecom network management, observability, analytics, or autonomous network solutions.
Skills Required
- Engineering degree
- 5+ years of experience in software testing and quality engineering
- Experience developing test automation with Java, Python, Go, or similar programming languages
- Experience building scalable test automation frameworks
- Hands-on experience testing cloud-native applications deployed on Kubernetes or OpenShift
- Experience testing microservices-based and distributed systems architectures
- Knowledge of API, integration, system, and end-to-end testing
- Experience implementing and maintaining CI/CD-driven test automation
- Experience with Jenkins, Git, Helm, and containerized deployment pipelines
- Experience testing Kafka, databases, ETL pipelines, and large-scale data processing workflows
- Strong defect management, troubleshooting, test analysis, and root cause analysis skills
- Experience working in Agile/Scrum environments
- Understanding of observability and telemetry concepts, including metrics, logs, and traces
- Exposure to AI-assisted testing tools or AI/ML-driven quality engineering
- Experience with telecom network management, observability, analytics, or autonomous network solutions
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.
