[Hiring] QA Engineer @Mantra Digital

Role Description

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
• AI-driven defect analysis

The ideal candidate will bring strong technical expertise, analytical thinking, exceptional communication skills, and a high level of ownership.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Opportunity to contribute directly to product quality.
• Establish scalable automation practices.
• Explore emerging AI-driven testing technologies.
• Help shape our quality engineering standards.
• Healthy work–life balance through strong collaboration and supportive team practices.
• Direct access to leadership through an open-door policy that encourages transparency and open communication.