En Protecso, empresa líder en soluciones e innovación tecnológica, nos encontramos en la búsqueda de profesionales con interés en ser parte de un proyecto internacional del rubro de salud.
ROLE AND RESPONSIBILITIES:
AI-DRIVEN TEST DESIGN & AUTOMATION
- Use AI tools to generate, review, and optimize automated test cases — replacing manual test authoring wherever possible and dramatically expanding coverage without proportional increases in effort.
- Leverage AI-assisted analysis to understand code flow, component interactions, and edge cases, ensuring automation suites reflect real-world usage scenarios rather than just happy paths.
- Build and maintain automation test suites across Mobile, Desktop, and Web platforms using frameworks such as Selenium, Appium, Cypress, Robot Framework, or Tricentis Tosca — augmented by AI to accelerate framework setup and test scaffolding.
- Apply AI tools to identify gaps in existing test coverage, prioritize high-risk areas, and continuously improve the depth and reliability of automation suites.
AI-AUGMENTED BUG DETECTION & REPORTING
- Use AI-powered analysis to investigate user problems, detect patterns in defect data, and surface systemic quality issues that manual review would miss.
- Create and manage bug reporting with AI-assisted summarization and root cause categorization — reducing manual documentation effort while improving defect report quality.
- Apply exploratory testing techniques enhanced by AI to uncover edge cases and unexpected behaviors beyond scripted test scenarios.
CI/CD INTEGRATION & QUALITY GATEKEEPING
- Integrate automated test suites into CI/CD pipelines; use AI tools to monitor test results, flag regressions, and recommend pipeline adjustments based on quality trends.
- Serve as a steward of final software release quality — using AI-generated quality dashboards and trend analysis to inform go/nogo decisions with data rather than intuition.
- Develop and maintain status reporting and informative dashboards on all testing activities, leveraging AI to automate report generation and surface meaningful insights.
COLLABORATION & AGILE PARTICIPATION
- Participate in backlog refinement to help design test cases, checklists, and test plans — using AI to rapidly generate draft test scenarios from user stories and acceptance criteria.
- Work with deployment teams to resolve issues, contribute to product design, and improve the testability of functional and nonfunctional requirements.
- Manage technical communications across teams with a clear understanding of overall system behavior and quality standards.
- Research test tools, methodologies, and AI-driven QA trends; continuously evaluate and adopt emerging capabilities that improve team efficiency and product quality.
API & ADVANCED TESTING
- Apply advanced API testing skills using Postman or similar frameworks; use AI to generate and validate API test scenarios from specifications.
- Leverage BDD principles and AI-assisted scenario generation to align automated tests with business intent and customer outcomes.
- Conduct ad hoc and SQL-based testing as needed to validate data integrity and application behavior.
QUALIFICATIONS AND REQUIREMENTS:
- BS degree in Computer Science, Software Engineering, or related field.
- 6+ years of QA experience testing and automating Mobile and Web applications.
- 4+ years of Agile and DevOps experience.
- Required: Demonstrated, hands-on experience using AI tools to generate test cases, expand automation coverage, or accelerate QA workflows — with specific examples you can speak to.
- Expert-level knowledge in automated test design and Object-Oriented Design principles.
- Advanced knowledge of automation frameworks: Selenium, Appium, Cypress, Robot Framework, or Tricentis Tosca.
- Advanced knowledge of API testing; experience with Postman or similar tools.
- Advanced knowledge of CI/CD processes and pipeline integration.
- Strong knowledge of BDD principles and exploratory testing techniques.
- Proficiency in Python, Java, and/or JavaScript.
- Good knowledge of SQL and database testing.
- Excellent communication, troubleshooting, and self-organization skills.
- High English proficiency, written and verbal.
PREFERRED EXPERIENCE:
- Experience with AI-powered testing platforms or AI-assisted test generation tools (e.g., Testim, Mabl, Diffblue, or similar).
- Experience with AI or ML-designed applications and testing non-deterministic outputs.
- Experience with public cloud environments (AWS, Azure, or GCP).
- Tricentis Tosca experience.
- Healthcare domain experience; familiarity with FHIR/HL7 a plus.
- Understanding of Web, Mobile, and database software development.
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