QA Lead

About INSPYR Global Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Global Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Tittle: QA LeadLocation: Medellín, ColombiaWork Model: HybridSchedule: Must be available for meaningful working-hour overlap with U.S.-based teams and clientsExperience: 7+ years in Software Quality AssuranceLanguage: Professional proficiency in English and Spanish
About the RoleWe are looking for an experienced QA Lead to provide technical and methodological leadership across our Quality Assurance practice.This role combines QA practice leadership, hands-on technical expertise, test automation, process improvement, and team development. You will help establish and evolve consistent QA standards across multiple projects while partnering closely with Engineering, Product, Architecture, DevOps, Project Management, and Technology Leadership.The ideal candidate is someone who can operate both strategically and hands-on, drive automation initiatives, mentor QA professionals, and help teams embed quality throughout the software development lifecycle.You will also help promote the practical and responsible adoption of AI-assisted tools and workflows within QA.
Key ResponsibilitiesLead and continuously improve QA standards, methodologies, processes, templates, and quality gates across multiple projects.Define and guide risk-based test strategies, test plans, quality criteria, and release-readiness practices.Provide technical leadership, mentoring, and coaching to QA Engineers and Analysts.Support functional, integration, API, end-to-end, regression, exploratory, and other appropriate testing activities.Define and drive the organization's test automation strategy.Design or review scalable, maintainable, and reusable automation frameworks and solutions.Partner with Engineering and DevOps teams to integrate automated testing into CI/CD pipelines.Promote continuous testing, shift-left practices, root-cause analysis, and early defect prevention.Define and monitor meaningful QA metrics, including defect trends, escaped defects, test coverage, automation effectiveness, and release readiness.Support multiple projects and client delivery teams simultaneously.Collaborate with Product Managers, Business Analysts, Developers, Architects, DevOps Engineers, and Project Managers.Communicate quality risks, status, trade-offs, and recommendations to both technical and non-technical stakeholders.Promote knowledge sharing, reusable QA assets, internal training, and continuous improvement.Evaluate and promote practical uses of AI-assisted tools for software testing, test automation, requirements analysis, defect investigation, documentation, and QA productivity.Help establish responsible AI practices within QA, including human validation, data protection, security, traceability, and output validation.
Required Qualifications7+ years of experience in Software Quality Assurance.3+ years of experience leading QA professionals, QA teams, or cross-project quality initiatives.Proven experience implementing or significantly improving QA processes and automation practices.Strong knowledge of software quality assurance principles, methodologies, and industry best practices.Strong experience defining test strategies, test plans, quality gates, and risk-based testing approaches.Hands-on experience with functional, integration, API, end-to-end, regression, and exploratory testing.Strong test automation experience, including framework design, implementation, maintenance, and execution.Experience automating web applications and APIs using tools such as Playwright, Cypress, Selenium, REST Assured, Postman/Newman, or comparable technologies.Experience integrating automated tests into CI/CD pipelines and working with Git-based development workflows.Experience with test and defect management platforms such as Jira, Azure DevOps, TestRail, Zephyr, Xray, or similar.Strong understanding of Agile and iterative software delivery practices.Experience defining and interpreting QA metrics and release-readiness indicators.Strong analytical, troubleshooting, and root-cause analysis capabilities.Demonstrated mentoring, coaching, and team-development experience.Ability to operate effectively both strategically and hands-on.Experience supporting multiple projects, teams, or clients simultaneously.Hands-on experience using AI-assisted tools to improve software testing, automation, requirements analysis, defect investigation, or QA productivity.Understanding of responsible AI principles, including human oversight, data privacy, security, traceability, and validation.Strong written and verbal communication skills.Professional working proficiency in English and Spanish.Ability to collaborate effectively with distributed and multicultural teams.Availability to work with teams and clients operating in United States time zones.
EducationBachelor’s degree in Systems Engineering, Software Engineering, Computer Science, Information Technology, or a related field, or equivalent professional experience.
Interview ProcessThe selection process includes three interviews and a technical assessment focused on QA leadership, test strategy, automation, CI/CD, quality metrics, problem-solving, and responsible use of AI in Quality Assurance.
Apply today and help us build quality into every stage of the software development lifecycle.