A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A person strongly focused on detecting and preventing errors during all phases of software solution development, ensuring proper functioning and the customer experience. This person also analyzes the evolution and post-production performance, taking feedback and proposing improvements. A strong understanding of quality standards, practices, and tools is required to carry out this role.
✓ Professional experience in systems, engineering, business administration, or related fields.
✓ Knowledge of the banking or financial business, including its services and operations, will be an asset.
✓ Knowledge of tools that support the testing cycle in software development.
✓ Technical knowledge of some of the following tools and programming languages, such as Python, Java, SQL, ChatGPT, and artificial intelligence, that facilitate the generation of accelerators for the execution of different types of tests. Handling of testing tools such as: Postman, BrowserStack, Ignate Quality Platform (IQP), UFT, Selenium, Jenkins, lLsa (service virtualization), SOAPUI, JMeter and those related to test and defect management such as: ALM, OCTANE