Company Description DataMoo.AI helps enterprises build the data, AI, and automation foundations needed to operate and grow in an intelligent world. The company transforms fragmented data, manual processes, and complex business challenges into scalable data platforms, intelligent applications, and AI-powered operations across industries such as BFSI & FinTech, Healthcare & Life Sciences, Manufacturing, Workforce Management, and Enterprise Operations. Its capabilities span modern data engineering, advanced analytics, artificial intelligence, machine learning, generative AI, and intelligent automation.

In addition to services, DataMoo.AI develops products like FaceViz, FocusDay.ai, and ScoutViz to solve real operational challenges and improve workforce and field visibility. The organization is focused on solving real business problems, building scalable technology, and delivering measurable outcomes so enterprises can become truly AI-ready.

Role Description This is a full time remote role for a QA Engineer at DataMoo.AI. The QA Engineer will design, maintain, and execute test plans and test cases to validate data platforms, AI products, and automation solutions. Day-to-day responsibilities include performing manual testing, identifying and documenting defects, collaborating with engineering and product teams to clarify requirements, and verifying fixes.

The role also involves contributing to quality assurance processes, improving test coverage,



supporting release cycles, and ensuring that delivered solutions meet functional, performance, and reliability standards. The QA Engineer will participate in continuous improvement efforts, propose enhancements to testing practices, and help maintain a high-quality bar across the product lifecycle.

Qualifications

- Candidates should possess strong Quality Assurance and Software Testing skills, with experience ensuring reliability and adherence to requirements.
- Candidates should possess Test Execution and Test Cases skills, including designing, organizing, and running structured test scenarios.
- Candidates should possess Manual Testing skills, with the ability to perform detailed functional, regression, and exploratory testing.
- Experience with defect tracking tools, test management systems, and version control platforms.
- Familiarity with API testing, database validation, and basic scripting or automation concepts is beneficial.
- Strong analytical thinking, attention to detail, and clear written and verbal communication skills.
- Ability to work effectively in remote, cross-functional teams and manage time across multiple projects.
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
- Experience testing data platforms, AI products, or workflow automation solutions is a plus.

📌 QA Engineer (India)
🏢 DataMoo.AI
📍 India