Senior QA & Automation Engineer

Nokia; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Nokia in Bengaluru seeks talented Software QA and Automation Engineers with 5+ years of experience to design, develop, and execute test automation solutions for cloud-native applications in observability. You will collaborate with development, product, and operations teams to ensure reliability, performance, and scalability while advancing quality engineering practices in an Agile environment.

The role emphasizes automation framework development, end-to-end quality validation, and continuous

Qualifications

• 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 RCA skills for complex distributed applications in Agile/Scrum environments.

Responsibilities

• Design, develop, and enhance test automation frameworks for cloud-native observability platforms.
• Own end-to-end quality validation activities—from test strategy to release readiness.
• Drive automation-first testing across CI/CD pipelines to accelerate delivery and reduce manual effort.
• Identify, analyze, and track defects with engineers to ensure timely resolution and quality improvements.
• Collaborate with development, product, and DevOps teams to embed quality throughout the SDLC.

Skills

Test automation development

Cloud-native testing

API/integration testing

CI/CD automation

Data-intensive & event-driven testing

Root Cause Analysis

Education

Engineering degree

Tools

Kubernetes

OpenShift

Jenkins

Git

Helm

Kafka

Job description

Job Description

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.

Job Description

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.

How You Will Contribute And What You Will Learn

• 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.

Key Skills And Experience

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.