Cloud QA Engineer

Location: Bengaluru (Hybrid)

Experience: 4–6 Years

Department: Quality Engineering

Overview

We are seeking a Cloud QA Engineer with 4–6 years of experience in manual and automation testing for cloud-native applications. The ideal candidate will have hands-on experience in API testing, cloud platforms, automation frameworks, and end-to-end testing, with the ability to deliver high-quality software in an Agile environment using modern QA and AI-assisted testing practices.

Key Responsibilities

• Design test strategies, test plans, and test cases based on business requirements.
• Perform UI, Functional, System, Integration, Regression, API, and End-to-End (E2E) testing.
• Develop and maintain automation frameworks using Selenium and PyCharm.
• Integrate automation testing into CI/CD pipelines and improve automation coverage.
• Validate REST APIs using Postman or RestAssured.
• Test applications deployed across AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Validate deployments across Development, QA, Staging, and Production environments.
• Work with Microservices, Docker, Kubernetes, and distributed cloud applications.
• Identify, track, and validate software defects through root cause analysis.
• Leverage AI tools such as Cursor and GitHub Copilot for test case generation, automation optimization, debugging, and log analysis.
• Collaborate with Developers, DevOps Engineers, Product Managers, and QA teams in an Agile/Scrum environment.

Mandatory Skills

• 4–6 years of experience in Software Quality Assurance.
• Strong knowledge of software testing methodologies.
• Hands-on experience in Manual and Automation Testing.
• Expertise in Selenium automation and PyCharm.
• Experience in UI, Functional, Integration, System, Regression, API, and End-to-End (E2E) testing.
• Strong API testing experience using Postman or RestAssured.
• Proficiency in Java, Python, or JavaScript.
• Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.
• Good knowledge of Git version control.
• Hands-on experience with AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Good understanding of REST APIs, Microservices, Docker, Kubernetes, and Logging & Monitoring tools.
• Experience working in Agile/Scrum teams.

Preferred Skills

• Experience with AI-assisted testing tools such as Cursor and GitHub Copilot.
• Knowledge of intelligent test automation and self-healing testing.
• Basic understanding of performance testing using JMeter or k6.
• Strong analytical, debugging, and problem-solving skills.