12 hours ago
Buenos Aires, ArgentinaStaff+
Responsibilities
- Own the test automation strategy, framework roadmap, quality gates, test estimation models, and release readiness approach.
- Lead quality planning across discovery, design, development, testing, deployment, and production support.
- Develop and maintain automation frameworks, reusable libraries, and scalable testing solutions.
- Design and execute automated UI, API, integration, regression, data validation, smoke, and end-to-end tests.
- Validate scientific workflows involving experiments, samples, compounds, assays, research results, calculations, visualization, search, reporting, and data sharing.
- Verify data completeness, lineage, transformations, calculations, metadata, identifiers, reconciliation, traceability, and integrity across integrated systems.
- Manage defect lifecycle activities, facilitate defect reviews and root-cause investigations, and provide quality metrics and release recommendations.
- Integrate automated testing into CI/CD pipelines and optimize test execution, reporting, and deployment readiness.
- Mentor QA engineers and establish quality engineering best practices and governance standards.
Requirements
- At least 10 years of software testing, quality assurance, and quality engineering experience.
- Significant experience leading enterprise-level QA and test automation initiatives for complex, business-critical systems.
- Experience working with senior technical, scientific, product, and business stakeholders and cross-functional delivery teams.
- Strong hands-on experience with Selenium, Playwright, Cypress, Robot Framework, Java, Python, JavaScript, and TypeScript.
- Experience with REST APIs, JSON payload validation, contract testing, authentication and authorization testing, and service integration validation.
- Strong proficiency in SQL, data quality testing, source-to-target reconciliation, data transformation validation, metadata verification, and scientific data integrity testing.
- Hands-on experience with Git-based source control, Jenkins, GitHub Actions, Azure DevOps Pipelines, Jira, Azure DevOps, HP ALM, and test reporting tools.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Life Sciences, Pharmacy, Chemistry, Biology, Bioinformatics, or a related technical or scientific field.
- Advanced English level.
- Preferred experience in pharmaceutical, biotech, CRO, laboratory informatics, scientific research, GxP, computer system validation, data integrity, audit trails, electronic records, privacy, or compliance environments.
- Preferred exposure to ELN, LIMS, SDMS, CDS, compound registration, screening, bioinformatics, and research analytics platforms, as well as drug discovery, scientific metadata, FAIR data, data lineage, controlled vocabularies, and ontologies.
Benefits
- Hybrid work arrangement requiring three days per week in a client or Cognizant office in Tucuman, Buenos Aires.
- Wellbeing programs and support for work-life balance.
Tech Stack
Categories
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.