CI&T

Backend Engineer

• Operate the SDLC natively with AI
• Consistent use of automations with agents that perform multi-step tasks
• Structure specifications that feed the AI
• Maintain quality control and operate this in production securely

AI Developer, Java

Software Engineer

• Collaborate with software architects and development teams to define infrastructure requirements and design comprehensive platform solutions.
• Lead the design, implementation, and optimization of CI/CD pipelines using Bitbucket to streamline software development, testing, and deployment processes.
• Architect and manage Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation, enabling scalable and reproducible AWS infrastructure management.
• Conduct PoCs to evaluate new tools, technologies, and methodologies, assessing their potential impact on the platform and operations.
• Monitor and enhance the performance, reliability, and scalability of systems, ensuring high availability across production and development environments.
• Troubleshoot and resolve complex issues across infrastructure, deployments, and applications, implementing robust solutions to improve system stability.
• Integrate security best practices into the architecture and deployment processes, ensuring compliance with industry standards and regulations.
• Mentor team members on advanced DevOps practices and contribute to establishing a culture of continuous improvement and operational excellence.
• Engage directly with clients to understand their needs, prioritize and plan solutions, and manage expectations regarding project timelines and deliverables.

Senior Developer, Terraform/GCP

Data Engineer

• Safeguard the reliability, performance, and usability of end-to-end digital solutions
• Embed automated testing, AI-assisted workflows, and modern test tooling into our delivery lifecycle
• Define test strategy, build automation frameworks, and validate quality across modern web applications and mobile apps

Senior Data Engineer, Spark, Databricks

• Perform troubleshooting and in-depth investigation of failures and issues, such as slowdowns or inconsistencies in the payment flow (e.g., Pix, Card).
• Use analytical skills to interpret logs, metrics, and system data, identifying root causes of incidents quickly and accurately.
• Develop and implement bug fixes in Java code, and work on performance optimization and MongoDB query tuning.
• Actively monitor the production environment using observability tools such as Dynatrace, and create tags and monitoring dashboards as needed.
• Actively participate in problem and incident management, collaborating with partner teams to ensure SLA compliance and application health.
• Proactively analyze and reverse-engineer unexpected system behaviors, proposing permanent architectural improvements to prevent recurrence.

Senior Java Developer – Sustaining

Product Analyst

• Understand and define requirements together with the business area, translating user needs into detailed specifications.
• Write clear, actionable user stories and test scripts for the Squad.
• Monitor execution and actively participate in user acceptance testing (UAT).
• Communicate the product vision to development and testing teams.
• Build use cases and manage user stories, views, and process flows.
• Question and validate definitions presented by the business, ensuring they meet real user needs.
• Explain how requirements can be implemented from a functional perspective and drive/improve the user experience.
• Document confirmed business processes to serve as a reference for development and IT support.
• Apply compliance requirements within the scope of responsibility, ensuring SDLC documentation, system configuration, and compliance activities are up to date.
• Understand the company’s IT systems portfolio, be able to specialize in specific applications, and develop product/BPM expertise.
• Support and/or facilitate system demonstrations through inspection-and-adaptation workshops as needed.
• In partnership with the Product Owner (PO), maintain a deep understanding of business processes and requirements to ensure the Squad’s backlog priorities align with business needs.
• Anticipate 2–3 sprints ahead, ensuring each feature has a clear definition of "done" and meets the readiness criteria to enter the sprint.
• Help manage dependencies with other squads, working closely with the PO, peer product analysts, and the Product Manager.
• Track metrics and build reports to measure progress.
• Apply business process improvement methods for optimization.

Product Analyst / Business Analyst, Senior

Frontend Engineer

• Develop scalable, high-performance user interfaces using Angular 18.
• Collaborate with the Backend team to integrate robust APIs built on .NET 8.
• Ensure code quality through unit testing with a focus on behavior and reliability.
• Work in an agile environment using Azure DevOps and a GitFlow-based workflow.

Senior Frontend Developer, Angular

Machine Learning Engineer

• Design and implement multi-agent AI architectures using AWS Bedrock
• Develop agent orchestration logic and collaborative agent workflows
• Configure and manage AWS Bedrock Agents, Knowledge Bases, and Guardrails
• Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings
• Implement tool integrations using Model Context Protocol (MCP) and API-based services
• Optimize LLM behavior through prompt engineering, tuning, and context management
• Develop observability and monitoring strategies for AI workflows using CloudWatch and X-Ray
• Build scalable event-driven architectures and resilient integration patterns
• Design error handling, retry strategies, and graceful degradation mechanisms
• Collaborate with engineering, product, and architecture teams to deliver production-grade AI solutions
• Support infrastructure automation and deployment pipelines using IaC and CI/CD practices
• Ensure governance, security, auditability, and compliance standards across AI systems

Master AI / Machine Learning Specialist, AWS

• Apply SOLID and KISS principles to produce modular, reusable, and simple code.
• Apply main Design Patterns (Factory, Strategy, Builder, among others).
• Experience building RESTful APIs using Python, Django ORM, FastAPI, or Flask.
• Able to integrate the back-end service with a UI framework in Angular 18+.
• Excellent Python coding skills and a strong understanding of Python best practices.
• Experience in software testing with libraries such as pytest.
• Knowledge of concurrent programming with asyncio, threads, processes and an understanding of the GIL.
• Experience with relational databases such as PostgreSQL.
• Knowledge of Docker and docker-compose.
• Experience with messaging-based services (RabbitMQ, Kafka, ServiceBus, Redis).
• Experience with observability tools such as Datadog, Grafana, ELK.

Senior Developer – Python, Angular, AI

Scrum Master

• Lead a cross-functional squad, driving the execution of project goals
• Ensure effective collaboration and communication among team members
• Guide the squad through agile processes
• Foster a culture of continuous improvement
• Deliver high-quality solutions that meet customer needs

Senior Scrum Master/Squad Leader

Product Designer

• Collaborate with multidisciplinary teams to solve problems through design. You will use design thinking and user research to help identify unmet needs or untapped opportunities—and turn them into strategic visions for clients and internal teams.
• Create wireframes, user flows, sitemaps, specifications and other UX design deliverables.
• Design intuitive interfaces through high-fidelity designs and prototypes.
• Create and expand design systems and style guides.
• Document specifications for handoff
• Visual design support on client requests.

Mid-Level UX/UI Designer

• Design, develop, unit test, and integrate full-stack application components.
• Build scalable web applications using React on the frontend and Java 21 / Spring Boot on the backend.
• Implement RESTful APIs, microservices, and integrations with enterprise systems.
• Collaborate with UX/UI, product, architecture, and QA teams in an Agile environment.
• Create and maintain architecture, design, and system documentation.
• Ensure code quality, performance, and security (OAuth2, OIDC, JWT).
• Work with MySQL, Hibernate, Spring Data, and Spring Security.
• Support production systems using Kibana and APM tools, and participate in the on-call rotation when needed.

Senior Fullstack Developer – React, Java, Node

• Execute and validate artifacts generated in knowledge extraction and transformation flows.
• Identify and fix gaps in structured artifacts — null fields, inconsistent references, incorrect statuses.
• Create and maintain behavior definitions for AI agents (instruction files, system prompts) at each step of the flow.
• Write Python scripts for data transformation, YAML normalization, and artifact validation.
• Assist teams in checking and validating assets generated by agents and pipelines.
• Review PRDs, epics, and AI-generated requirements documents using structured review checklists.
• Maintain technical documentation: READMEs, CLAUDE.md entries, and skill reference materials.

Senior AI Developer, .NET

Manager

• Engagement strategy
• Culture data and narrative
• Organizational diagnostic
• Governance of action plans and communication of results
• Learning strategy
• AI capabilities, AI assessment skill mapping
• Global programs
• Workforce readiness
• Integration at scale
• Time to productivity
• Global/local consistency
• Early-tenure retention
• Development and training of interns selected for the program
• Conversion pipeline to full-time positions
• Learning experience and engagement throughout the learning journey
• Lead, develop and engage a 10-person team distributed across the four CoE pillars
• Ensure role clarity, prioritization and delivery cadence, even amid transformation and concurrent-build contexts
• Develop team members by identifying growth areas and aligning development to the CoE objectives
• Build a strong execution culture aligned with business goals, accountability, collaboration and continuous improvement
• Translate the People strategic agenda into concrete programs, processes and deliverables
• Contribute to consolidating the CoE by creating governance, rituals and a narrative that grant credibility and visibility to the scope
• Ensure execution quality across the four pillars, focusing on global consistency and local adaptation
• Develop and track relevant KPIs for each pillar, connecting metrics to strategic decisions
• Lead, in partnership with business stakeholders, the delivery of the AI capability-building roadmap
• Ensure AI learning programs are relevant, scalable and measurable
• Connect AI capability-building to the company’s agentic strategy, translating business objectives into development paths
• Coordinate engagement and organizational health strategy, including reading and narrating Team Culture data
• Identify patterns, anomalies and opportunities in engagement data, turning analysis into executive recommendations
• Link engagement to business indicators (retention, productivity, team performance)
• Ensure a consistent, effective and scalable onboarding experience for new hires
• Monitor onboarding effectiveness indicators: time to productivity, satisfaction, early-tenure retention
• Integrate onboarding with engagement and capability-development strategy
• Full ownership of CI&T’s internship program: attraction, onboarding, development and career pipeline
• Ensure the intern audience’s experience and engagement throughout the entire journey
• Develop conversion-to-hire strategies and internal growth paths for program talents
• Build and maintain relationships with business and technology leaders, People teams and vendors/partners
• Influence without direct authority, positioning the CoE as a strategic partner rather than a support function
• Contribute to the People executive narrative with senior leadership.

Learning & Engagement Manager

Customer Success Manager

• - Atender junto com a CI&T um cliente do mercado financeiro;
• - Desenvolver testes automatizados;
• - Participar da implementação;
• - Atuar com resolução de problemas de forma mais assertiva se comunicando com o cliente;
• - Ampliar os conhecimentos do time.

Senior Customer Success Manager

AI Engineer

• Be responsible for the squad's technical delivery, ensuring quality, predictability and adherence to architectural standards
• Lead technical refinement with the product team, translating business needs into viable, well-sized solutions
• Support the squad backlog organization, prioritizing technical debt, architectural risks and AI automation opportunities
• Lead the adoption and evolution of agent-based development tools (Claude Code in particular) in multidisciplinary squads
• Define and disseminate AI-assisted development methods — using Spec-Driven Development (Spec-Kit, BMAD) as a foundation — adapting the lifecycle to each product context
• Design and implement agent-driven processes across the engineering workflow: AI-assisted code review, test generation and maintenance, assisted refactoring, living documentation, PR automation
• Act as a systems architect with an AI perspective: evaluate trade-offs, propose integration patterns between agents and services, ensure consistency across iOS, Android and BFF
• Mentor engineers, raising the team's maturity in AI-assisted engineering