[31900] 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.