QA Engineer
Infosys Bengaluru East, Karnataka, India
Job Description
"Unlock the role of a QA Engineer at Infosys and elevate your career in software testing with this comprehensive learning guide."
As a QA Engineer at Infosys, you will be responsible for ensuring the quality of software applications by implementing robust testing strategies. This role requires a strong understanding of Software Development Life Cycle (SDLC), Agile methodologies, and Test Life Cycle (STLC).
With the rapid evolution of technology, the demand for skilled QA Engineers is on the rise, and the salary range for this role is competitive, offering a promising career prospect.
Why you should learn this:
With the increasing adoption of digital transformation, the demand for QA Engineers is projected to grow exponentially, making it an ideal career choice for those interested in software testing.
Expected Salary: The average salary for a QA Engineer at Infosys ranges from ₹8.5 lakhs to ₹14.5 lakhs per annum, depending on experience and location.
How it works:
- Understanding the requirements and creating test cases, scenarios, and test data
- Executing manual and automated tests to ensure quality coverage across releases
- Identifying, logging, tracking, and validating defects with proper severity and priority
Core Concepts to Master
Agile Methodologies
Agile methodologies emphasize flexibility, collaboration, and continuous improvement. As a QA Engineer, you will work closely with development teams to ensure that software applications meet the required quality standards.
Automation Tools (Selenium/Playwright / TestNG)
Automation tools enable automated testing, reducing manual effort and increasing test coverage. You will learn to develop and debug test scripts using these tools and integrate them into your testing processes.
Agentic AI Concepts and Agentic Playground Environments
Agentic AI concepts and Agentic Playground environments enable the creation of intelligent agents that can interact with software applications. You will learn to design and develop AI-powered testing solutions.
CI/CD and DevOps
CI/CD (Continuous Integration and Continuous Deployment) and DevOps practices ensure seamless integration between development and testing teams. You will learn to implement CI/CD pipelines and collaborate with teams to ensure smooth deployment.
Version Control Tools (Git)
Version control tools like Git enable teams to collaborate on code changes and track modifications. You will learn to use Git for version control and manage changes to software applications.
JIRA for Test Management
JIRA is a popular tool for test management, enabling teams to track and manage test cases, defects, and releases. You will learn to use JIRA for efficient test management.
Interview Questions (Beginner)
- What is the Software Development Life Cycle (SDLC)?
- What are the key differences between Agile and Waterfall methodologies?
- How do you ensure quality coverage across releases?
Job Overview
Advance Questions
- • Can you explain the concept of Agentic AI and its application in software testing?
- • How do you design and develop CI/CD pipelines?
- • What are the best practices for implementing DevOps in a testing environment?