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.
• Investigate pipeline failures and maintain stable automated test execution.
• Promote shift-left testing and early defect identification.
• Collaborate with developers to improve release quality and deployment confidence.

Defect Management & Quality Ownership

• Identify, document, prioritize, and track defects using Jira, Azure DevOps, Bugzilla, or similar tools.
• Provide clear reproduction steps, screenshots, logs, and supporting technical details.
• Collaborate with developers on defect triage, root cause analysis, retesting, and regression validation.
• Maintain test execution reports, defect metrics, automation coverage, and QA dashboards.
• Identify quality risks and provide recommendations before releases.
• Own QA sign-off for assigned features and modules, including documented residual risks.
• Continuously improve testing processes, frameworks, and quality standards.

Agile Collaboration & Communication

• Work closely with engineering, product management, business analysts, and cross-functional teams.
• Participate in sprint planning, backlog refinement, daily stand-ups, retrospectives, and release discussions.
• Review requirements and identify ambiguities, missing acceptance criteria, and potential testing risks.
• Communicate defects, blockers, testing progress, and release risks clearly and proactively.
• Maintain comprehensive test documentation and share QA best practices.
• Demonstrate independent ownership, accountability, and strong problem-solving capabilities.

Required Skills & Experience (Must-Haves)

• 5–6 years of professional software QA experience, with strong hands-on exposure to both Manual and Automation Testing.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.
• Proven experience developing, executing, debugging, and maintaining automated test scripts.
• Hands-on experience with at least one automation framework such as Playwright, Selenium, or Cypress.
• Proficiency in at least one programming language: Java, Python, JavaScript, or TypeScript.
• Strong knowledge of functional, regression, integration, system, smoke, sanity, and end-to-end testing.
• Practical experience in REST API testing and API automation.
• Strong SQL skills and experience validating backend data and business workflows.
• Understanding of test automation framework design, test case optimization, and reusable test components.
• Working knowledge of Git, CI/CD pipelines, and automated test execution.
• Strong understanding of SDLC, STLC, Agile/Scrum, and defect management processes.
• Experience with test management and defect tracking tools such as Jira, TestRail, Zephyr, Xray, or equivalent.
• Ability to independently manage testing activities, identify quality risks, and support production releases.
• Strong debugging, analytical, documentation, and troubleshooting capabilities.
• Exceptional written and verbal English communication skills (10/10 expected), with the ability to communicate effectively with technical and non-technical stakeholders.

Nice-to-Haves

• Hands-on experience with AI-assisted testing tools such as GitHub Copilot, ChatGPT, Cursor, Testim, or mabl.
• Experience using AI to generate test cases, develop automation scripts, analyze defects, or improve test coverage.
• Experience testing AI-powered applications, conversational AI, LLM-based features, or AI-driven workflows.
• Familiarity with AI testing concepts such as hallucination detection, response consistency, prompt injection testing, and evaluation of nondeterministic outputs.
• Experience with SaaS products, enterprise applications, or high-scale cloud-based platforms.
• Exposure to performance testing tools such as JMeter, k6, or BlazeMeter.
• Familiarity with AWS, Azure, GCP, Docker, or containerized test environments.
• Knowledge of security testing fundamentals, OWASP principles, and accessibility testing.
• Experience with API contract testing, service virtualization, mocking, and test data management.
• Experience testing CRM integrations, messaging platforms, or communication APIs.
• Exposure to SMS, Voice, WhatsApp, or other customer engagement technologies.
• Experience working in fast-paced product development or startup environments.

Why Work at Meera AI?

Joining Meera AI means stepping into a challenging and highly rewarding environment where you'll help build AI-powered outbound and customer engagement innovations from the ground up.

You'll have the opportunity to contribute directly to product quality, establish scalable automation practices, explore emerging AI-driven testing technologies, and help shape our quality engineering standards. If you're ambitious, technically curious, and want to grow fast, this is the place to do it.

What We Do at Meera AI

Meera.AI is an AI-powered customer engagement and automation platform designed to help businesses scale conversations, accelerate lead conversions, and drive revenue—without manual outreach.

We combine AI-driven SMS, Voice, and WhatsApp automation with deep CRM integrations to help businesses create meaningful, revenue-generating customer conversations.

Work-Life Balance at Meera AI

We foster a healthy work–life balance through strong collaboration and supportive team practices. Employees benefit from direct access to leadership through an open-door policy that encourages transparency and open communication.