QA Tech Lead at Atlantic Talent Services | Torre

QA Tech Lead

You will own quality for AI and hardware-software systems, mentoring teams and driving innovation.
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Full-time

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Posted 12 days ago

Requirements and responsibilities


As the QA Tech Lead, you will take ownership of QA processes, testing strategy, and overall product quality across multidisciplinary engineering teams. You will play a key role in driving quality standards, mentoring QA professionals, and ensuring reliable product delivery throughout the entire development lifecycle. Key Responsibilities: - Perform hands-on manual testing for complex AI-driven and hardware-software integrated systems. - Lead QA initiatives from a technical perspective and establish high-quality standards across products. - Define, implement, and continuously optimize QA methodologies, workflows, and best practices. - Own the end-to-end quality process, from requirements analysis through production release. - Collaborate closely with Product, Engineering, AI, and R&D teams to ensure seamless delivery. - Identify product risks, prioritize issues effectively, and support timely resolution. - Adapt QA planning and execution based on evolving business and technical priorities. - Promote a strong culture of quality, accountability, collaboration, and continuous improvement. - Mentor and provide technical guidance to QA team members. Qualifications & Experience: - Bachelor’s degree in Computer Science, Engineering, or a related technical field. - 5+ years of hands-on QA experience in complex technical environments. - 2+ years of experience in a QA Tech Lead, Team Lead, or similar leadership role. - Strong expertise in manual testing methodologies and QA processes. - Proven experience leading QA efforts in dynamic, fast-paced environments. - Experience working with at least one of the following: AI-based systems, Computer Vision technologies, Hardware-Software integrated solutions. - Strong analytical, organizational, and prioritization skills. - Ability to manage shifting priorities while maintaining high-quality execution. - Strong ownership mindset with excellent problem-solving capabilities. - Effective communicator and collaborative team player. Preferred Qualifications: - Previous experience working within AI or retail technology environments. - Experience improving QA frameworks, processes, or testing infrastructure. - Strong understanding of product lifecycle management and release processes.
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