> Markdown version of [/jobs/ext/4034050-software-quality-engineering-lead](https://www.wearedevelopers.com/jobs/ext/4034050-software-quality-engineering-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Quality Engineering Lead - **Company:** Insight Global - **Location:** Coral Gables, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Testing (Software), Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, JIRA, Automation of Tests, Microsoft Azure, Software Bug Management, C Sharp (Programming Language), Software Quality, Computer Programming, Continuous Integration, DevOps, Systems Development Life Cycle, Selenium, SQL Databases, Systems Integration, Test Data, TypeScript, Web Applications, Tricentis Tosca, Enterprise Software Applications, Postman, Cypress (Programming Language), Integration Tests, Playwright, Restful APIs, Cucumber (Software), Workday - **Published:** October 30, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3481011239&tx=KK4343FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 8+ years of Software Quality Engineering, QA, or software testing experience. * Strong experience leading complex testing or Quality Engineering initiatives. * Hands-on automation experience with at least one framework such as Playwright, Selenium, Cypress, Tosca, or Cucumber. * Programming/scripting experience with TypeScript, Java, or C#. * Strong experience with system and integration testing. * Experience testing web applications, APIs, data, and enterprise applications. * Knowledge of Agile, DevOps, CI/CD, SDLC, risk-based testing, and defect management. * Experience with tools such as Azure DevOps Test Plans, Jira, Postman, Rest Assured, and SQL. * Strong communication and consulting skills with the ability to work directly with both business and technical stakeholders. * Workday, ERP, HCM, timekeeping, or workforce-management experience. * Experience building QA/QE processes or automation in an environment starting from a largely manual testing model. * Experience testing complex enterprise integrations and applications containing sensitive employee or PII data. * Experience with enterprise testing modernization or a Testing Center of Excellence. * Familiarity with generative AI and AI-assisted testing practices. ## Description A Fortune 500 client is seeking a Software Quality Engineering Lead to help lead Quality Engineering for a major enterprise initiative focused on consolidating timekeeping systems across multiple locations and platforms. This is a hands-on technical leadership role for someone who can partner closely with business and technology teams, establish testing practices in a largely manual environment, and build scalable automation from the ground up. The role will be approximately 60% strategy, collaboration, and technical leadership and 40% hands-on testing and automation. What You'll Do * Lead end-to-end test strategy across complex enterprise applications and system integrations. * Partner with business stakeholders, developers, Product, Architecture, and DevOps to identify risks and build quality into the SDLC. * Help transition a primarily manual testing environment toward automated testing. * Design, build, and enhance reusable test automation frameworks. * Perform hands-on testing across web applications, APIs, data, integrations, and enterprise platforms. * Support functional, integration, regression, system, performance, accessibility, and security testing. * Integrate automated testing into CI/CD pipelines. * Lead test planning, defect management, risk assessment, quality metrics, and release-readiness activities. * Provide technical direction and mentorship to 1-2 Quality Engineers. * Help introduce AI-assisted testing practices for test design, automation development, test data, and defect analysis.