About the job
CI&T brings together human expertise and artificial intelligence to deliver scalable technology solutions. With a team of over 8,000 professionals worldwide and more than 1,000 client partnerships built over 30 years, the company focuses on tech transformation, with AI at its core.
Role overview
The Mid-Level Automation QA Specialist will play a key role in migrating legacy systems to cloud-native architectures. This position centers on shaping and executing quality assurance strategies that protect business continuity and data integrity throughout each phase of migration. Designing automation frameworks will be a central responsibility, ensuring both legacy and modern systems meet high standards for performance and reliability.
What you will do
- Develop and implement QA strategies tailored to legacy system migrations, with a focus on data integrity and feature equivalence.
- Design and manage automation frameworks to streamline testing cycles and reduce manual regression work.
- Work closely with System Architects, Developers, and stakeholders to identify risks tied to legacy systems and new integration points.
- Promote testing best practices, emphasizing the testing pyramid, to support the shift from monolithic to microservices architectures.
Requirements
- Experience leading QA efforts for complex system migrations, including data transfer and environment transitions.
- Strong skills in test automation tools such as Selenium, Playwright, or Cypress, with experience building frameworks from scratch.
- Proficiency in validating REST APIs and conducting thorough database testing to ensure data consistency during migrations.
- Ability to perform root cause analysis and risk evaluation for software reliant on legacy systems.
- Advanced knowledge of JIRA and other project management tools for tracking migration progress and managing defects.
- Fluency in English, both written and spoken, at an advanced level.
Preferred qualifications
- Familiarity with agile development methodologies and experience working in cross-functional teams.
