QA Automation Engineer (Web, SaaS, & AI Integration)

We are looking for a QA Automation Engineer who will play a key role in ensuring the quality and reliability of our website and SaaS platform. This is a hands-on role where approximately 70–80% of your time will be spent developing and maintaining test automation, with the remaining time dedicated to manual testing.

This position also includes an exciting opportunity to integrate AI agents into the automation framework — helping us scale testing, improve coverage, and accelerate release cycles.

Key Responsibilities

• Design, implement, and maintain automated test suites for regression, integration, and end-to-end testing of our website and SaaS platform.
• Leverage AI-powered agents or tools to enhance and optimize test automation, including self-healing scripts, intelligent test generation, and anomaly detection.
• Collaborate closely with developers, product managers, and other QA engineers to ensure test coverage aligns with product requirements.
• Perform manual testing for complex use cases, exploratory scenarios, and edge cases not easily automated.
• Monitor and analyze test results, triage failures, and track defects with detailed reporting.
• Maintain CI/CD pipelines and ensure test automation is integrated into the development workflow.
• Evaluate and introduce new tools, frameworks, or AI-based solutions to improve QA efficiency and reliability.

Must-Have:

• 2+ years of experience in QA automation for web and SaaS products.
• Strong knowledge of test automation frameworks (e.g., Playwright, Selenium, Cypress, etc.).
• Proficiency in a programming/scripting language (e.g., Python, JavaScript, Java).
• Experience integrating or working with AI tools or agents in testing (e.g., test case generation, GPT-based validators, self-healing frameworks).
• Solid understanding of QA methodologies, test planning, and defect lifecycle.
• Experience with CI/CD tools (e.g., Jenkins, GitHub Actions) and version control (Git).

 Nice-to-Have:

• Experience with API testing tools (e.g., Postman, REST Assured).
• Familiarity with performance or load testing tools.
• Experience working in Agile/Scrum environments.
• Knowledge of cloud environments such as AWS, GCP, or Azure.
• Interest in or experience with AI/ML applications in software testing.

What We Offer

• Opportunity to work at the forefront of AI-assisted QA automation
• A dynamic and collaborative team environment
• Significant ownership over test strategy and tooling
• Professional growth through learning and experimentation with cutting-edge technologies
• Flexible work hours and remote work options

About the Company:

Appdome's mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system.

With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and businesses globally. Today, Appdome's customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.

Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.