
1 - 10 employees
Founded 2015
🤖 Artificial Intelligence
🔬 Science
🔒 Cybersecurity
Artificial Intelligence • Science • Cybersecurity
Global Quantum Intelligence, LLC is a leader in providing market and business intelligence specifically focused on quantum technology. The company offers trusted data, insights, and analysis to vendors, users, governments, and investors in the quantum tech ecosystem. Their expertise encompasses the entire spectrum of quantum tech, including computing, sensing, communications, and cryptography, empowering stakeholders to make informed strategic decisions based on proprietary data and in-depth research.
🕒 March 6
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1 - 10 employees
Founded 2015
🤖 Artificial Intelligence
🔬 Science
🔒 Cybersecurity
Artificial Intelligence • Science • Cybersecurity
Global Quantum Intelligence, LLC is a leader in providing market and business intelligence specifically focused on quantum technology. The company offers trusted data, insights, and analysis to vendors, users, governments, and investors in the quantum tech ecosystem. Their expertise encompasses the entire spectrum of quantum tech, including computing, sensing, communications, and cryptography, empowering stakeholders to make informed strategic decisions based on proprietary data and in-depth research.
• Design, develop, and maintain automation frameworks from scratch or enhance existing ones using Selenium WebDriver, ensuring reusability, scalability, and maintainability. • Create functional UI test scripts for web-based applications, focusing on scenarios involving object selections, lookups, drill-downs, and child record views that often open new windows or pop-ups. • Collaborate with development, QA, and product teams to identify automation requirements, integrate tests into CI/CD pipelines, and analyze test results. • Implement best practices for test data management, error handling, reporting, and logging to support efficient debugging and execution. • Optimize automation scripts for performance, handling dynamic UI elements, cross-browser compatibility, and multi-environment testing. • Mentor junior engineers, conduct code reviews, and contribute to process improvements in the automation strategy. • Stay updated with industry trends in automation tools and technologies to recommend enhancements.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Minimum 5 years of experience in automation testing, with proven expertise in Selenium WebDriver for UI automation. • Strong programming skills in Java (preferred, as it aligns with many enterprise apps), including experience with build tools like Maven or Gradle. • Proficiency in framework architectures such as Page Object Model (POM), Data-Driven, or Hybrid frameworks. • Solid understanding of locator strategies (XPath, CSS, etc.), handling windows/tabs, iframes, alerts, and advanced interactions (e.g., Actions class). • Experience with testing tools and libraries like TestNG/JUnit for assertions, Extent Reports or Allure for reporting, and Apache POI for data handling. • Familiarity with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps, and version control systems like Git. • Knowledge of Agile/Scrum methodologies and defect tracking tools (e.g., JIRA). • Excellent problem-solving skills, attention to detail, and the ability to work independently or in a team. • Experience automating enterprise applications like IBM TRIRIGA (Integrated Workplace Management System), MREF, or MAS is preferred. • Exposure to other automation tools such as Cypress, Playwright, or Appium for hybrid/mobile testing is preferred. • Understanding of API testing (e.g., using RestAssured or Postman) to complement UI automation is preferred. • Certifications in Selenium, ISTQB, or related automation technologies are preferred. • Prior experience in domains like facilities management, real estate, or asset management software is preferred.
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Apply Now🕒 November 10, 2025
Data Quality Engineer designing data quality frameworks and ensuring data accuracy at Codvo. Collaborates with data teams for continuous improvement of data quality in platforms.