We are looking for an experienced QA leader to define and execute a comprehensive quality assurance strategy that supports our business goals and development roadmap. This individual will play a critical role in shaping quality standards across the organization, leading a distributed team of QA engineers and analysts, and ensuring the delivery of reliable, high-performing products.
Key Responsibilities
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Develop and implement a robust QA strategy aligned with the company’s objectives and product roadmaps.
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Set and maintain quality benchmarks, processes, and best practices across all teams and projects.
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Lead, coach, and grow a high-performing QA team across multiple locations and initiatives.
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Drive the adoption and evolution of automated testing frameworks and performance testing tools.
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Collaborate cross-functionally with Product, Engineering, DevOps, and Support to integrate QA into every phase of development.
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Define and monitor key metrics and KPIs to evaluate quality trends, identify areas for improvement, and assess release readiness.
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Ensure adherence to industry regulations and compliance standards (e.g., ISO, CMMI, GDPR) as required.
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Cultivate a quality-first mindset within the organization, championing continuous improvement, accountability, and innovation.
Qualifications
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
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At least 5 years of experience in QA, with a minimum of 3 years in a leadership role.
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Deep understanding of software development and testing lifecycles (SDLC, STLC), Agile/Scrum methodologies, and CI/CD pipelines.
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Hands-on experience with modern test automation tools and frameworks (e.g., Selenium, JUnit, Postman, LoadRunner, Jenkins, Jira).
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Strong leadership, communication, and organizational skills.
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Familiarity with regulated environments such as healthcare, finance, or transportation is a plus.
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ISTQB certification or similar professional QA credentials.
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Experience with cloud testing platforms (e.g., AWS, Azure).
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Understanding of DevSecOps and integrating security into the QA process.
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Knowledge of AI/ML applications in test automation or quality analytics is a strong advantage.
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Fluent in English, both spoken and written.