Selenium Jobs in Lebanon.
All active Selenium roles based in Lebanon.
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QA Automation Engineer
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At Liaison, we’ve helped higher education institutions build better, more diverse classes for three decades. You may recognize us as the company behind the Centralized Application Service (CAS), Enrollment Marketing services and platform (EMP), SlideRoom, Time2Track, TargetX (CRM) and Othot.
Everything we do is focused on taking that proven success and expanding its scope and scale. Over 31,000 programs on more than 1,000 campuses see us as a forward-thinking partner integral to meeting their total enrollment goals — and we’re building the data- and mission-driven team that will reinforce our role for decades to come.
We are looking for a detail-oriented Software QA Automation Engineer to join our team. In this role, you will be responsible for building and maintaining automated test scripts that ensure the quality, reliability, and performance of our applications. You will collaborate closely with developers, QA team members, and product managers to deliver high-quality software in a fast-paced environment.
Responsibilities:
- Develop, maintain, and execute automated test scripts for web, API, and/or mobile applications.
- Collaborate with QA engineers, developers, and product managers to ensure adequate test coverage for new and existing features.
- Participate in Agile ceremonies including sprint planning, standups, and sprint reviews to understand product requirements and testing needs.
- Identify, document, and track software defects with clear, reproducible steps.
- Perform regression, functional, and exploratory testing using both automation and manual testing approaches as needed.
- Contribute to the design and improvement of automation frameworks and QA processes.
- Support continuous integration and deployment pipelines by integrating automated testing into CI/CD workflows.
Position Requirements:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 5+ years of hands-on experience in software testing and automation.
- Familiarity using AI tools as part of the automation process (Cursor preferred).
- Proficiency in one or more programming or scripting languages such as TypeScript, Java, Python, JavaScript, or C#.
- Experience with test automation tools such as Playwright, Cypress, Selenium, or Appium.
- Experience with API testing tools such as Postman, RestAssured, or similar technologies.
- Knowledge of CI/CD tools and version control systems such as Git, Jenkins, GitHub Actions, or GitLab CI.
- Strong understanding of software testing methodologies, QA best practices, and Agile development processes.
- Strong analytical and problem-solving skills with attention to detail.
Preferred Qualifications:
- Experience with performance or load testing tools such as JMeter, Gatling, or Locust.
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Basic understanding of containerization technologies such as Docker or Kubernetes.
- ISTQB or equivalent QA certification.
Ready to apply?
Apply to Liaison International
Senior AI Quality Assurance Engineer
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Why Choose Bottomline?
Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!
Senior AI Quality Assurance Engineer
Role Overview
An AI Quality Assurance Engineer ensures the accuracy, reliability, and compliance of AI systems and models before deployment. This role is critical for validating AI-driven applications, detecting defects, and safeguarding against risks such as bias, hallucinations, and non-deterministic behavior. The position involves designing robust test strategies for machine learning models and collaborating with data scientists, ML engineers, and product teams to maintain high-quality standards.
Key Responsibilities
· Testing & Validation
o Develop and execute comprehensive test plans for AI models and systems.
o Perform manual and automated tests to validate AI functionality under various scenarios.
o Conduct bias detection, edge-case testing, and stress testing for AI models.
· Automation & Tools
o Design and implement automated testing frameworks for AI workflows.
o Utilize AI-powered QA tools and self-healing test scripts to improve efficiency.
· Compliance & Governance
o Ensure AI systems adhere to ethical guidelines, regulatory standards, and internal policies.
o Maintain documentation such as Generative AI Bill of Materials (BoM) for transparency and audits.
· Collaboration
o Work closely with ML engineers, data scientists, and product managers to resolve defects.
o Participate in code reviews and contribute to continuous improvement initiatives.
· Monitoring & Reporting
o Analyze test results, identify defects, and track quality metrics.
o Provide risk assessments and recommendations for AI deployments.
Required Skills & Qualifications
· Education: Bachelor’s in Computer Science, Software Engineering, or related field.
· Experience:
o 3–7 years in QA, with at least 2 years in AI/ML testing.
o Familiarity with non-deterministic testing and AI-specific QA challenges.
· Technical Expertise:
o Proficiency in Python and testing frameworks (e.g., PyTest, Selenium).
o Knowledge of ML frameworks (TensorFlow, PyTorch) and MLOps tools.
o Experience with CI/CD pipelines and cloud platforms (AWS, Azure, GCP).
· Soft Skills:
o Strong analytical and problem-solving abilities.
o Excellent communication and collaboration skills.
Preferred Skills
· Understanding of ethical AI principles and bias testing.
· Familiarity with low-code/no-code automation tools and AI-driven QA platforms.
· Knowledge of regulatory compliance for AI systems.
#LI-DNI
#LifeAtBottomline
We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.
Ready to apply?
Apply to Bottomline