Java Full Stack Analyst - Mid-level

**Java Full Stack Analyst \- Mid-level** ------------------------------------- **Mandatory Requirements:** * Spring MVC, * Spring Data, * Spring S

We have an opportunity for you to serve as the strategic leader of Software Quality, ensuring quality is embedded from ideation through production, promoting operational efficiency, risk reduction, and data-driven decision-making. The QA Lead is responsible for developing people, advancing the quality discipline, and sustaining results in complex and challenging environments. ### **Key Responsibilities and Requirements:** **Strong Expertise in the Quality Discipline** * Demonstrate solid mastery of the Software Quality discipline, including its foundations, practices, techniques, and evolution across the product lifecycle. * Apply quality concepts such as defect prevention, risk management, cost of poor quality, value-based testing, and software reliability. * Show deep understanding of different test levels, types, and strategies (functional, non-functional, exploratory, automated, and continuous). * Know and apply both classical and modern testing techniques, understanding when and why to use each—going beyond test execution to actively shape the quality strategy. * Serve as a technical QA reference, supporting decisions with conceptual and practical grounding, and helping the organization avoid superficial or purely bureaucratic quality approaches. * Actively contribute to building a quality culture, influencing product, engineering, and business teams to treat quality as a collective responsibility. **Strategy, Governance, and Evolution of the Discipline** * Define, communicate, and evolve the QA strategy aligned with business objectives. * Propose and lead initiatives for the continuous advancement of the Quality discipline, elevating QA from an operational to a strategic role. * Proactively engage from the discovery/ideation phase, influencing requirements, acceptance criteria, architecture, and technical decisions. * Design scalable, resilient, risk-oriented quality processes suited to high-change, delivery-pressure contexts. **Leadership, People, and Career — Actively manage the careers of direct reports, including:** * Individual Development Plans (IDPs) * Technical and behavioral growth * Ongoing performance and engagement monitoring * Serve as a technical and strategic mentor, encouraging critical thinking, autonomy, and ownership mindset. * Foster a safe environment for learning, feedback, and continuous improvement. **Data-Driven Management and Efficiency** * Use quality metrics to support strategic decision-making. * Evaluate and drive AI initiatives applied to Quality, aiming to reduce repetitive tasks and increase productivity. * Analyze indicators such as: Test effectiveness, rework, production incidents, ROI of QA and automation initiatives. **Behavioral Competencies** * Strategic vision and business-value orientation. * Ability to lead and develop people. * Clear communication, technical influence, and conflict management. * Analytical, critical, and data-oriented thinking. * Proactivity, resilience, and adaptability to change. ### **Nice-to-Have for Us:** * Experience handling high technical complexity; * Worked in environments with frequent contextual changes; * Experience leading QA transformation; * Experience with AI, intelligent automation, or operational efficiency initiatives. ### **Work Model:** Availability to work in a hybrid model (near Morumbi CPTM station) — 2 days/week onsite. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

João Silva
Indeed · HR