Key skills
Test AutomationAutomation Testing FrameworksLeapworkManual TestingSoftware Testing MethodologiesSDLCAgileCI/CDAI-powered Testing ToolsAI-assisted Test AutomationGenerative AI ToolsCloud EnvironmentsDevOpsTest Automation CertificationsStakeholder managementAIGenerative AIStakeholder ManagementMentoringCommunication
About this role
Qualitest is a leading AI-powered Quality Engineering company seeking a Test Automation Lead to join their growing U.S.-based team. The role involves leading the design, development, and implementation of automation testing strategies, collaborating with various teams to ensure high-quality software delivery, and mentoring QA team members on automation standards.
Responsibilities:
- Lead the design, development, and implementation of automation testing strategies and frameworks
- Build scalable, maintainable, and reusable test automation solutions across applications and platforms
- Evaluate, recommend, and implement automation tools and best practices
- Perform manual testing and validation activities for applications that are not yet automated, supporting business priorities during the automation transformation journey
- Collaborate with development, QA, business, and product teams to ensure high-quality software delivery
- Mentor and guide QA team members on automation standards, frameworks, and testing methodologies
- Drive continuous improvement in test coverage, execution efficiency, and release quality
- Identify opportunities to leverage AI technologies to enhance test automation, maintenance, and quality engineering processes
Requirements:
- 8+ years of experience in Software Quality Assurance and Test Automation
- Proven experience leading automation testing initiatives in enterprise environments
- Strong hands-on experience designing, developing, and maintaining test automation frameworks from scratch
- Experience with automation tools such as Leapwork or comparable automation platforms
- Ability and willingness to perform manual testing activities while automation capabilities are being expanded
- Strong understanding of software testing methodologies, SDLC, Agile, and CI/CD practices
- Hands-on experience utilizing AI-powered testing and automation tools to improve test design, execution, maintenance, and reporting
- Knowledge of AI-assisted test automation concepts, including intelligent test generation, self-healing automation, test optimization, and AI-driven quality engineering practices
- Strong analytical, problem-solving, communication, and stakeholder management skills
- Experience implementing AI-driven automation strategies within large-scale enterprise environments
- Exposure to Generative AI tools and frameworks for test case creation, automation scripting, defect analysis, and quality insights
- Experience working within cloud and DevOps environments
- Relevant certifications in Test Automation, Quality Engineering, or AI-related technologies