Quality Engineer - CONTRACTOR CONVERSION

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. As a Quality Engineer specializing in Test Quality, you will support the delivery team in achieving high-quality test outcomes by applying a structured approach, test practices, and technical solutions. You will utilize expertise in test optimization, automation, and analytics to drive accelerated business outcomes. Your primary responsibilities will include:

• Implement Test Optimization: Apply a model-based Test Design approach to optimize testing processes and accelerate test automation using the IGNITE platform. This involves analyzing existing test processes and identifying areas for improvement.
• Leverage Cognitive Tools: Utilize cognitive tools and techniques to transform detection-based testing into prevention-based Quality Engineering, ensuring high-quality software products.
• Drive Continuous Improvement: Develop and implement integrated metrics and measurements to drive improvements in test quality and contribute to improved time to market.
• Prepare Quality Plans: Create and guide the team on Quality Plans and overall Quality for the project lifecycle, emphasizing quality assurance and continuous improvement.
• Guide Technical Test Practices: Adopt and promote easily consumable technical test practices, ensuring the team's alignment with quality standards.
• Test Optimization Expertise: Exposure to model-based Test Design approaches and test automation using platforms like IGNITE, with the ability to analyze existing test processes and identify areas for improvement.
• Cognitive Tools Familiarity: Experience working with cognitive tools and techniques that support the transformation of detection-based testing into prevention-based Quality Engineering.
• Quality Metrics Development: Exposure to developing and implementing integrated metrics and measurements that drive improvements in test quality and contribute to improved time to market.
• Quality Planning Knowledge: Experience working with Quality Plans and overall Quality for the project lifecycle, emphasizing quality assurance and continuous improvement.
• Technical Test Practices Understanding: Exposure to adopting and promoting easily consumable technical test practices that ensure team alignment with quality standards.
• Model-Based Testing Knowledge: Exposure to model-based testing approaches and methodologies, enabling the application of structured testing principles to optimize testing processes.
• Advanced Analytics Familiarity: Experience working with analytics tools and techniques that support data-driven decision-making in test optimization and quality engineering.
• Automation Scripting Skills: Exposure to scripting languages and automation frameworks that can be leveraged to accelerate test automation using platforms like IGNITE. Argentina Data & Analytics Hybrid Entry Level Ciudad Autónoma De Buenos Aires, AR Ciudad Autónoma De Buenos Aires (0007) IBM Argentina Sociedad de Responsabilidad Limitada Analytics Automation Continuous Improvement Engineering Optimization Planning Quality Assurance Scripting Test Automation Testing Data-Driven Decision-Making Team Alignment Scripting languages Project Lifecycle Test Design Advanced Analytics Automation Frameworks