Role: 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.