At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
Your Mission: Join our team in a pivotal role that combines solid technical quality assurance skills with strong business acumen. As a QA Analyst, you will work directly with the client's teams and alongside our QA Lead, helping to safeguard product quality at every stage of the software lifecycle. Your mission is to design and execute thorough test coverage, truly understand the business rules and overall functioning of the project, and bring AI-augmented practices into your day-to-day testing work.
Key Responsibilities:
- Design, produce, and execute test cases (manual and automated) across functional, regression, integration, and non-functional testing.
- Work directly with the client's teams to learn the business rules, user flows, and overall functioning of the project, translating that understanding into effective test coverage.
- Analyze requirements and user stories to identify test scenarios, edge cases, and potential risks early in the development cycle.
- Execute test cycles, log and track defects, and work closely with developers to validate fixes.
- Contribute to the QA strategy defined by the QA Lead, suggesting improvements to test coverage, processes, and tooling.
- Communicate test results, risks, and quality status clearly to both technical and business stakeholders.
- Collaborate with developers, business analysts, and product owners to clarify requirements and ensure testability of new features.
- Organize and prioritize your own testing activities independently, managing competing deadlines with minimal supervision.
- Apply AI tools to improve test design, test data generation, defect analysis, and overall testing efficiency.
- Document test cases, test plans, and quality reports to ensure standardization and alignment with the client's compliance and performance standards.
Requirements for this Position:
- Excellent communication skills in English, with the confidence and clarity to engage directly with the client's teams.
- Strong self-organization and autonomy, with a proven ability to manage priorities and deliver without close supervision.
- Solid technical background in QA, including test case design, execution, defect tracking, and test automation concepts.
- Hands-on experience in software testing, with a track record of owning test coverage for non-trivial features or modules.
- Business-oriented mindset, genuinely interested in learning the project's business rules and overall functioning, not just its technical layer.
- Current, practical experience using AI tools applied to QA (e.g., AI-assisted test case generation, AI-powered test automation, or AI-driven defect analysis).
- Experience with Agile methodologies and QA processes within Agile delivery.
- Strong communication, documentation, and problem-solving skills.
- A proactive mindset, comfortable raising risks and proposing improvements rather than just executing scripts.
Stand-out Requirements: You will be one step ahead if you have:
- Hands-on experience working in an agentic AI setting applied to QA, leveraging autonomous or semi-autonomous AI agents to support test generation, execution, or analysis.
- Experience working directly with a client's teams, without an intermediary layer of stakeholders.
- Familiarity with test automation frameworks and CI/CD pipelines.
- Experience working in digital consulting environments.