Senior QA Engineer, Brazil

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.

Knowledge and Experience Required

•Proficient with generative AI tools that supports the quality assurance process of development teams (test case generation, automated test generation in all layers of the pyramid).

•Proven experience in a leadership role within the QA discipline of fast-paced Agile environment, instating the quality process and coaching developers to deliver with quality autonomously.

•Extensive experience in automation testing tools for both back and front end

•Proficient in programming/scripting languages (e.g., Java, Python, JavaScript) for automation tasks.

•Familiarity with continuous integration tools (e.g., Jenkins, CircleCI) and version control systems (e.g., Git).

•Strong analytical and problem-solving skills, with a focus on delivering high-quality solutions.

•A desire to achieve the best outcome for our clients.

•Friendly, professional, and self-motivated with a drive to learn.

Personal Attributes

•Adaptability: Thrives in dynamic environments, showing resilience and the ability to pivot when needed.

•Proactive: Anticipates challenges and takes initiative to address issues before they escalate.

•Detail-oriented: Pays close attention to detail, ensuring accuracy and quality in every aspect of project management.

•Empathy: Understands and respects client and team needs, fostering a supportive and inclusive work environment.

•Integrity: Upholds the highest ethical standards, ensuring transparency and honesty in all interactions.

•Problem-Solver: Approaches challenges with a solution-oriented mindset, leveraging creativity and logic to overcome obstacles.

•Collaborative: Works well with others, valuing diverse perspectives and building strong, cohesive teams.

•Act as a central reference and information source, guiding the system project decision-making process.