Our client, an innovative AI-driven platform, is seeking a QA Engineer to ensure the reliability and performance of their cutting-edge application. This role involves designing test plans, automating testing processes, and working closely with developers to enhance system quality. We encourage you to apply if you have a passion for quality assurance and experience with modern testing tools.
Location: Fully-Remote (Work from Home), 9 AM - 5 PM EST
Test Plan Development: Design, develop, and execute comprehensive test plans and test cases to validate system functionality and reliability.
Manual & Automated Testing: Perform both manual and automated testing for frontend and backend systems, ensuring seamless AI-powered feature integration.
Collaboration & Issue Resolution: Work closely with developers, product managers, and AI engineers to identify and resolve software issues.
Automated Testing Setup: Establish and maintain automated testing frameworks using TypeScript-based tools like Jest, Cypress, or Playwright.
Performance & Scalability Testing: Evaluate AI models and APIs to ensure optimal performance and scalability.
Compliance & Security: Ensure adherence to accessibility, security, and data privacy standards.
Bug Reporting & Documentation: Provide detailed bug reports and recommendations to improve system quality.
Reliable System Performance: Comprehensive testing leads to a stable and high-quality platform.
Optimized Automation: Effective automated testing reduces manual workload and increases efficiency.
Seamless AI Integration: Rigorous testing ensures AI models function as expected within the platform.
Improved Security & Compliance: Strict adherence to security and privacy standards strengthens system integrity.
Experience
Bachelor’s degree in Computer Science, Software Engineering, or a related field.
2+ years experience in quality assurance testing for web applications, APIs, and databases.
Skills
Proficiency in TypeScript and familiarity with testing tools such as Jest, Cypress, or Playwright.
Fluent English communication skills, written and verbal
Strong understanding of software development lifecycle (SDLC) and agile methodologies.
Knowledge of API testing using Postman or similar tools.
Preferred Skills (Highly Advantageous)
Experience with CI/CD pipelines and integrating automated tests into deployment workflows.
Familiarity with cloud-based testing environments (AWS, GCP, or Azure).
Understanding of AI model testing, performance assessment, and accessibility standards.
This is an exciting opportunity to work with a forward-thinking team dedicated to improving AI-powered learning experiences. As a QA Engineer, you will ensure the platform operates at peak performance and meets the highest quality standards. If you are detail-oriented and passionate about software testing, we encourage you to apply.
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