QA Engineer – Manual, Automation & AI-Assisted Testing

VettedBench; United States; Remote; USD 16,000 - 18,000; Full time

Job summary

Meera AI is seeking a QA Engineer with strong hands-on experience in both manual and automation testing. The role focuses on ensuring quality, reliability, performance, and scalability of our AI-powered SaaS platform through comprehensive testing strategies, API validation, and continuous quality improvement.

You will independently manage the QA lifecycle, write and maintain automation scripts, develop reusable testing frameworks, and work with developers and product teams to deliver

Qualifications

• Solid hands-on experience in both manual and automation testing.
• Ability to design end-to-end QA strategies for web apps and APIs.
• Experience with AI-assisted testing concepts and tools is a plus.

Responsibilities

• Own end-to-end QA across web apps, APIs, and backend services.
• Design and execute various test types: functional, regression, integration, end-to-end, exploratory.
• Develop reusable automation frameworks and maintain scripts.
• Collaborate with developers and product teams to deliver high-quality releases.
• Validate AI-generated test cases and ensure security and maintainability.

Skills

Hands-on QA

Analytical thinking

Communication skills

Ownership

Tools

Playwright

Selenium WebDriver

Cypress

Postman

Swagger/OpenAPI

REST Assured

GitHub Copilot

AI-assisted testing tools

Job description

QA Engineer – Manual, Automation & AI-Assisted Testing

Location: Remote

Experience: 5–6 years (flexible for candidates with strong technical expertise)

Working Hours: IST

Employment Type: Full-Time

Reporting To: Project Manager

Compensation: ₹15–17 LPA (negotiable depending on experience, technical skills, and interview performance)

About the Role

We're looking for a highly skilled, proactive, and detail-oriented QA Engineer with strong hands-on experience in both Manual and Automation Testing to join Meera AI's product engineering team.

You’ll be responsible for ensuring the quality, reliability, performance, and scalability of our AI-powered SaaS platform through comprehensive testing strategies, automated test development, API validation, database testing, and continuous quality improvement.This is not a manual-testing-only position. We’re looking for someone who can independently manage the end-to-end QA lifecycle, write and maintain automation scripts, develop reusable testing frameworks, identify critical defects, and work closely with developers and product teams to deliver high-quality releases.

We’re particularly interested in engineers who embrace modern testing practices, including AI-assisted test case generation, intelligent automation, AI-powered testing tools, and AI-driven defect analysis, to improve test coverage, reduce repetitive manual effort, and accelerate release cycles. The ideal candidate will bring strong technical expertise, analytical thinking, exceptional communication skills, and a high level of ownership.

What You’ll Do

Manual & Functional Testing

• Own end-to-end testing activities across web applications, APIs, backend services, and integrated systems.
• Design and execute functional, regression, smoke, sanity, integration, system, exploratory, and end-to-end test cases.
• Develop comprehensive test plans, scenarios, and test cases aligned with user stories, business requirements, and acceptance criteria.
• Perform positive, negative, boundary, edge-case, cross-browser, responsive, and usability testing.
• Support UAT, production validation, and release readiness activities.
• Apply risk-based testing and maintain requirement traceability to ensure coverage of critical business workflows.

Automation Testing & Framework Development

• Design, develop, execute, and maintain automated test scripts for web applications and APIs.
• Work with automation frameworks such as Playwright, Selenium WebDriver, Cypress, or equivalent tools.
• Write automation scripts using Java, Python, JavaScript, or TypeScript.
• Build and maintain scalable, reusable, and maintainable automation frameworks.
• Implement Page Object Model (POM), data-driven testing, reusable utilities, and appropriate test design patterns.
• Automate repetitive test scenarios, critical business workflows, and regression suites.
• Troubleshoot automation failures, flaky tests, and environment-related issues.
• Improve automation coverage, test execution reliability, and regression efficiency.

AI-Assisted Testing & Intelligent Automation

• Explore and utilize AI-powered tools to accelerate test case creation, test script development, and defect identification.
• Leverage tools such as GitHub Copilot, ChatGPT, Cursor, Testim, mabl, or similar AI-enabled testing solutions.
• Use AI-assisted capabilities for:
  • Generating test cases from requirements and user stories.
  • Developing and optimizing automated test scripts.
  • Identifying missing scenarios, edge cases, and coverage gaps.
  • Generating synthetic test data.
  • Analyzing test failures, application logs, and recurring defects.
  • Improving regression testing efficiency.
• Validate AI-generated test cases and scripts for accuracy, security, and maintainability.
• Recommend practical opportunities to incorporate AI into existing QA workflows.
• Ensure sensitive customer and company data is handled securely when using AI tools.

API & Integration Testing

• Perform manual and automated REST API testing using Postman, Swagger/OpenAPI, REST Assured, Newman, or similar tools.
• Validate API endpoints, request/response payloads, HTTP status codes, authentication, authorization, and error handling.
• Test OAuth 2.0, JWT, JSON/XML data structures, and API response times.
• Develop reusable automated API test suites.
• Validate integrations between application components, backend services, external platforms, and third-party APIs.
• Verify data consistency and error handling across interconnected systems.
• Exposure to SOAP APIs is an advantage.

Database & Backend Testing

• Perform backend and database validation using SQL queries.
• Work with databases such as MySQL, PostgreSQL, SQL Server, Oracle, or equivalent technologies.
• Validate CRUD operations, transactional workflows, data integrity, constraints, and business rules.
• Verify data consistency between UI, API, and database layers.
• Test data synchronization and integration workflows.
• Identify backend defects, data discrepancies, and transaction failures.
• Exposure to MongoDB or other NoSQL databases is an advantage.

Performance, Load & Non-Functional Testing

• Perform basic performance, load, and stress testing using JMeter, k6, BlazeMeter, or similar tools.
• Validate application response times, API latency, throughput, and behavior under load.
• Identify performance bottlenecks and collaborate with developers to resolve them.
• Support scalability, reliability, and basic security testing.
• Contribute to accessibility and compatibility testing where applicable.

CI/CD & Continuous Testing

• Integrate automated test suites into CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or similar tools.
• Work with Git-based version control and collaborative development workflows.
• Support automated smoke, regression, and API testing during build and deployment cycles.