CI&T

Frontend Engineer

• Develop and maintain user-facing features using React, TypeScript, HTML, and CSS.
• Write and maintain unit tests using Jest.
• Assist in deploying code to production environments.
• Collaborate with cross-functional teams to design and implement new features.
• Provide support and collaborate with junior developers.
• Identify and address potential issues, ensuring the robustness and security of the application.
• Follow best practices and coding standards to produce clean, maintainable, and efficient code.

Mid-Level React Developer

Mid-Level Front-End Developer, React

Full-stack Engineer

• Collaborate with development teams to gather requirements and provide technical guidance throughout the project lifecycle.
• Design and implement cloud-native solutions on Azure, ensuring scalability, performance, security, and maintainability.
• Establish and enforce coding standards, guidelines, and best practices for software development.
• Identify technical risks and propose mitigation strategies.
• Conduct code reviews to ensure adherence to best practices.
• Research and evaluate new technologies, tools, and frameworks relevant to Azure-based development.
• Serve as a hands-on technical lead and mentor for less experienced developers, promoting knowledge sharing and best practices.

Master Software Developer

Data Analyst

• Executive Dashboard Development: Design, build, and maintain analytical, managerial, and operational dashboards focused on clarity, performance, and user experience for senior leadership, including VPs and the international board in the payments and acquiring sector.
• UX/UI Applied to Data Visualization: Create visually consistent, intuitive, and usability-driven dashboards that combine aesthetics, analytical clarity, and decision-making efficiency, reducing cognitive load and accelerating data interpretation.
• Mastery of Financial KPIs: Translate and monitor critical financial indicators—such as revenue, margin, delinquency, risk, forecast, and budget vs. actual—into strategic visualizations that support executive decisions with precision and context.
• Analysis and Deviation Detection: Proactively apply analytical skills to identify anomalies, deviations, and root causes in financial and operational data, anticipating issues and proposing corrections before they are requested by leadership.
• Governance and Data Quality: Ensure traceability, consistency, validation, and auditability of the information presented in dashboards, guaranteeing visualizations are backed by reliable data and comply with organizational standards.
• Performance and Scalability: Optimize queries and dashboards to ensure high performance and scalability in environments with large volumes of financial and transaction data.
• Automation and Self-Service Analytics: Identify and automate manual report generation processes and build self-service analytics solutions that increase business users’ autonomy in consuming data.
• Modeling and Data Consumption via Databricks: Use Databricks connected to the database as the central tool for data access and consumption, applying strong SQL and modeling skills to structure consistent visualizations—without needing to perform transformations or migrations, which are handled by the engineering team.
• Building with Power BI: Develop robust solutions in Power BI as the primary BI tool, ensuring high technical standards, KPI standardization, and component reuse.
• Innovation and Continuous Improvement: Proactively propose innovative visual approaches and continuously raise the aesthetic and functional standards of dashboards—bringing initiatives rather than waiting for requests.
• Interaction with Executive Stakeholders: Communicate directly with finance and executive leadership from our client to gather analytical needs, present results, and translate business requirements into effective visualization solutions.

Senior Data Analyst

Backend Engineer

• Atender junto com a CI&T um cliente do mercado financeiro;
• Participar ativamente em todas as fases do ciclo de vida do desenvolvimento de software, incluindo refinamento técnico, desenvolvimento, testes e implantação;
• Participar de revisões de código, garantindo a qualidade e conformidade com as melhores práticas;
• Trabalhar de maneira colaborativa tanto com colegas de equipe quanto com clientes, promovendo um ambiente produtivo e harmonioso.

Mid Level Fullstack Developer, Java, Angular

Scrum Master

• Facilitate Scrum ceremonies such as Daily Stand-up, Sprint Planning, Sprint Review and Retrospective.
• Collaborate with the Product Owner to ensure the backlog is clear, prioritized and ready for development.
• Remove impediments that affect sprint progress and team productivity.
• Track and report agile metrics and performance indicators.
• Promote an agile culture, encouraging self-organization and continuous improvement.
• Act as a conflict mediator and facilitate communication between the team and stakeholders.
• Support the team in organizing and executing activities, ensuring adherence to agile practices.
• Collaborate with other Scrum Masters to maintain consistency and evolve practices across the organization.

Senior Scrum Master

Designer

• Coordinate the demands and needs of a Design Hub
• Develop an agency-style working model using artificial intelligence
• Standardize the Hub’s work processes
• Define team roles and responsibilities
• Implement processes to measure productivity metrics
• Engage with the client to collaborate on Design strategy
• Manage the CI&T team and develop team members’ careers
• Be accountable for financial, operational and People indicators

Senior Manager, Design

Software Engineer

• Architecting and building high-performance, premium mobile applications for the Apple ecosystem.
• Lead the technical direction of our iOS projects, ensuring functional apps and fluid, native user experiences.
• Write clean, high-quality Swift code to build complex features and delightful user interfaces using UIKit or SwiftUI.
• Diagnose and resolve performance bottlenecks, memory leaks, and UI glitches for a responsive user experience.
• Partner with UI/UX designers to implement pixel-perfect designs and with Backend Engineers to define and integrate RESTful APIs.
• Drive code review processes, maintain high unit test coverage, and mentor junior developers.

Senior iOS Developer

• Pipeline Development: Implement ELT/ETL pipelines for ingesting, transforming, and delivering data from diverse sources, including spreadsheets, SharePoint, and relational databases, following architecture standards;
• Data Platform Construction: Build and organize the layers of the Data Lake/Lakehouse (Bronze, Silver and Gold / Medallion Architecture) using optimized formats such as Delta Lake and Parquet;
• Transformation and Modeling: Develop data transformations using PySpark and advanced SQL, implementing architecture-defined models in the platform's analytical layers;
• Ingestion Strategies: Implement loading strategies (full load or incremental) appropriate to the volume and criticality of each data domain — focusing on efficiency for small-data contexts;
• Data Quality: Implement automated data quality tests and checks within pipelines, ensuring consistency, integrity, and traceability across layers;
• Cataloging and Governance: Support the cataloging and documentation of data assets with emphasis on lineage and classification, following governance guidelines defined by the Architect, establishing a unified data catalog as a central element of platform management;
• Observability: Ensure observability of pipelines through logs, alerts, and proactive monitoring;
• Documentation: Document models, transformations, and business rules applied in pipelines, ensuring traceability and maintainability of the solution.

Senior Data Developer, Azure

Artificial Intelligence

• Accelerate the deployment of the Agentic SDLC within our operations
• Demonstrate efficiency gains and accelerate client differentiation
• Participate in mapping current processes and defining acceleration plans

Senior Manager – AI Orchestrator

Machine Learning Engineer

• Conduct EDA and statistical profiling to identify trends and insights from data.
• Perform feature engineering specifically for time-series forecasting.
• Extract and transform data from relational databases (RDS, Oracle, PostgreSQL) into analytics-ready formats.
• Develop pipelines for data ingestion and processing.
• Build classical ML models for time-series forecasting, regression, and capacity/throughput modeling.
• Evaluate model performance using metrics such as RMSE, MAE, and MAPE, documenting performance results.
• Create insightful data visualizations and dashboards using Amazon QuickSight or equivalent BI tools.
• Utilize the Python data stack (pandas, NumPy, scikit-learn, matplotlib/seaborn) for data manipulation and analysis.
• Apply SHAP or other model explainability techniques to interpret model outputs.
• Work closely with stakeholders to translate business rules into effective feature engineering pipelines.
• Engage in milestone-driven, Firm Fixed Price delivery models, ensuring timely project completion.

Product Designer

• Lead the design process from initial discovery and wireframing through high-fidelity prototyping and developer handoff.
• Apply a deep understanding of iOS design patterns, gestures, and system behaviors to create intuitive mobile experiences.
• Maintain a high standard of craft, including typography, iconography, and motion design that feels native on iPhone and iPad.
• Partner closely with iOS Engineers to understand technical constraints and possibilities, ensuring design intent is preserved through production.
• Contribute to and evolve our mobile design library to ensure consistency across features.

Senior Product Designer, iOS & Mobile Platforms

Data Engineer

• Lead the design and evolution of the client's lakehouse/data lake architecture
• Provide technical direction for the design and deployment of AI agents aimed at enabling the sales team to rapidly access fund performance insights
• Define and drive the roadmap for Large Language Model adoption and Generative AI integration within the client's data ecosystem
• Act as the primary technical point of contact for client leadership and senior business stakeholders
• Implement and enforce DataOps principles across the data platform
• Mentor and develop team members, fostering a culture of continuous learning

Principal Data Architect

• Desenhar e custodiar a Estratégia Central de Governança de Dados (2026–2028), definindo horizontes, prioridades e critérios de evolução para contextos nacionais e internacionais.
• Revisar, homologar e simplificar políticas de dados (acesso, qualidade, privacidade, classificação, retenção e custo/eficiência), garantindo aderência regulatória à LGPD e ao GDPR aplicados a dados em nuvem.
• Traduzir diretrizes normativas em controles executáveis (policy-as-code) em coordenação com os times técnicos de dados.
• Atuar como trusted advisor na migração da plataforma de dados para o Google Cloud Platform, garantindo a aplicação de boas práticas de governança nativa em BigQuery, Dataplex/Data Catalog, IAM e DLP, em parceria com o Google.
• Operar o Programa de Data Stewardship — incluindo seleção, onboarding, rituais, calendário e playbook por domínio — e gerir indicadores de adoção (NPS interno, % de stewards ativos, % de dados certificados).

Data & AI Manager, Data Governance Specialist

Security Operations

• Collaborate with diverse teams to design, implement, and manage our security and identity platforms.
• Build, integrate, and manage account- and system-provisioning solutions as we continue our journey towards ‘Zero Trust’.
• Work directly with application owners and business users to provide security subject matter expertise and guidance for our security standards and policies.
• Administer Identity and Security operations platforms (e.g., Okta, Active Directory).
• Manage Active Directory implementations and rebuild the ADCS environment.
• Work on various Okta projects and manage permissions effectively.
• Provide Tier 3 support for all Identity/Security Operations related issues.
• Develop policies and procedures for Identity and Security systems.
• Mentor and educate other team members.
• Be available for on-call duties as required.