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Senior QA & Automation Engineer

Nokia
IND
Full-time
Senior · 5+ years experience
Hybrid
Discovered Today
githelmjavajenkinskafkakubernetes

Full Job Posting

Qualifications

  • 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.

Responsibilities

  • Design, 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.
  • 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.

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