Quality Assurance Analyst
Saasta Software & Services
Posted 14 Nov 2026, 14:02 IST
This job at a glance
- Who can apply
- Freshers and up to 1 year · B.Tech / B.E.
- Must know
- LLMsREST APIsStatisticsSeleniumPythonJavaScript
- Work
- On-site in Salem
- Pay
- Not stated by the employer.
- Skill demand
- REST APIs19%Statistics17%Selenium13%LLMs2%of 99 similar fresher jobs posted in India this week
- Listed
- 14 Nov 2026 · still open
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About Saasta Software & Services
Saasta Software & Services is a technology-driven organization focused on developing innovative software products and AI-powered enterprise solutions. Their technology initiatives span Artificial Intelligence, Generative AI, Cloud Computing, Enterprise Applications, Automation, and SaaS platforms.
Role Overview
QA Analyst will be responsible for testing web applications, mobile applications, APIs, and AI-powered software solutions to ensure quality, functionality, performance, and reliability. The candidate will work with Delivery and AI engineering teams to identify defects, validate application workflows, execute test cases, and leverage AI-powered tools to improve software testing efficiency.
Location: Remote / Hybrid / On-site
Key Responsibilities
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Manual Software Testing
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Understand business requirements, functional specifications, and application workflows.
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Prepare and execute test cases, test scenarios, and test data.
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Perform functional, regression, smoke, sanity, and exploratory testing.
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Identify, document, track, and report software defects.
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Validate application functionality across different browsers, devices, and environments.
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Ensure applications meet defined quality standards.
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AI-Based Testing
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Use AI-powered tools to generate test cases and test scenarios.
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Explore Generative AI tools for test planning, test data generation, and defect analysis.
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Use AI tools to assist in identifying edge cases and improving test coverage.
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Validate AI-generated outputs for accuracy, consistency, relevance, and reliability.
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Test LLM-based applications, chatbots, and AI-powered features.
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Evaluate AI responses for hallucinations, incorrect outputs, and unexpected behavior.
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Automation Testing
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Learn and implement test automation using Playwright, Selenium, or Cypress.
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Develop basic automated test scripts using Python or JavaScript.
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Execute automated test suites and analyze test execution results.
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Identify repetitive testing activities suitable for automation.
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Work with developers to improve application testability.
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API Testing
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Perform REST API testing using Postman.
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Validate HTTP methods, status codes, request parameters, response bodies, and headers.
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Test API authentication and authorization.
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Verify API integration and data consistency.
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Understand JSON, REST APIs, and basic API documentation.
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Web & Mobile Application Testing
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Test responsive web applications across browsers and screen sizes.
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Perform Android and iOS mobile application testing.
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Validate user interfaces, navigation, forms, authentication, and application workflows.
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Identify UI/UX inconsistencies and usability issues.
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Test location-based and other device-specific functionalities where applicable.
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Defect Management & Documentation
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Create detailed bug reports with steps to reproduce, expected results, and actual results.
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Track defects using Jira or similar issue management tools.
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Maintain test execution reports and testing documentation.
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Collaborate with developers to reproduce and resolve defects.
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Perform retesting and regression testing after bug fixes.
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Collaboration & Continuous Learning
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Work closely with AI Engineers, Software Experts, and QA teams.
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Participate in requirement discussions, sprint planning, and review meetings.
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Learn new AI testing tools, automation frameworks, and QA methodologies.
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Contribute to improving testing processes and product quality.
Required Technical Skills
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Software Testing
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Fundamentals of Software Testing and SDLC/STLC.
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Manual Testing and Test Case Design.
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Functional, Regression, Smoke, and Sanity Testing.
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Bug Reporting and Defect Life Cycle.
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AI & Generative AI Tools
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Basic understanding of Artificial Intelligence and Generative AI.
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Familiarity with ChatGPT, Claude, Gemini, or similar AI tools.
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Basic knowledge of AI-assisted test case generation.
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Interest in testing LLM-based applications and AI agents.
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Automation Testing
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Basic knowledge of Selenium, Playwright, or Cypress.
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Basic programming knowledge in Python or JavaScript.
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Understanding of automation testing fundamentals.
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API & Database Testing
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Basic knowledge of REST APIs.
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Postman for API testing.
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Understanding of JSON and HTTP status codes.
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Basic SQL queries and database validation.
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Tools & Technologies
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Jira / Bug Tracking Tools.
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Git / GitHub (basic knowledge).
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Test Management Tools.
Qualifications
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Educational Qualifications
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B.E. / B.Tech – Computer Science, Information Technology, AI & Data Science, or related disciplines.
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Experience Requirements
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0–1 year of experience in Software Quality Assurance / Software Testing.
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Freshers and recent graduates are welcome to apply.
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Academic projects, internships, and hands-on testing experience will be considered an advantage.
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Key Competencies
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Strong analytical and logical reasoning skills.
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Attention to detail and problem-solving ability.
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Good communication and documentation skills.
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Curiosity to explore applications and identify defects.
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Willingness to learn AI-assisted testing and automation.
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Ability to work collaboratively with technical teams.
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Commitment to software quality and continuous improvement.
What We Offer
- Opportunity to work on real-world AI-powered software products.
- Hands-on exposure to AI-based testing and Generative AI applications.
- Practical experience in manual and automation testing.
- Exposure to modern QA tools, frameworks, and technologies.
- Learning and professional development opportunities.
- Collaborative engineering environment and career growth.