job description
Join ReadiNow as a Technical Software QA Engineer and play a pivotal role in shaping the future of next-generation enterprise AI software. In this fully remote position, youâll collaborate with a dynamic, product-focused team to ensure the highest standards of quality, performance, and reliability in our cutting-edge solutions.
As a hands-on QA Engineer, youâll design and execute automated and manual test cases, identify defects, and work closely with developers to deliver seamless, high-impact software. Your expertise will directly contribute to the scalability and robustness of AI-driven applications that empower businesses worldwide.
This is a unique opportunity for a detail-oriented professional who thrives in a fast-paced, innovative environment and is passionate about leveraging technology to solve complex challenges. If youâre eager to make a tangible impact in the AI and enterprise software space, weâd love to hear from you.
Responsibility
- Develop, maintain, and execute automated test scripts for AI and enterprise software applications using industry-standard tools (e.g., Selenium, Appium, Postman).
- Design and implement comprehensive test plans, including functional, regression, performance, and security testing.
- Collaborate with cross-functional teams (developers, product managers, and DevOps) to identify, reproduce, and resolve software defects.
- Analyze test results, document bugs, and provide detailed reports with actionable insights for continuous improvement.
- Ensure software meets quality standards and compliance requirements before deployment.
- Contribute to CI/CD pipelines by integrating automated tests and monitoring test coverage.
- Stay updated on emerging QA trends, tools, and best practices in AI and enterprise software development.
- Participate in agile sprints, providing QA input during planning, development, and release phases.
Qualifications
- Bachelorâs degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- Minimum 3+ years of experience in software QA testing, with a focus on automated testing.
- Proficiency in test automation frameworks (e.g., Selenium, Cypress, JUnit, TestNG) and scripting languages (e.g., Python, Java, JavaScript).
- Experience testing APIs, microservices, and cloud-based applications (AWS, Azure, or GCP).
- Strong understanding of SDLC, Agile/Scrum methodologies, and CI/CD pipelines.
- Familiarity with AI/ML models, data validation, and performance testing tools (e.g., JMeter, LoadRunner).
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently in a remote setting with a proactive and detail-oriented mindset.