CI&T

Full-stack Engineer

• Develop and optimize Python code for cloud-based applications.
• Identify and resolve production incidents, providing rapid fixes and performing root cause analysis.
• Collaborate with development teams by answering questions, providing support, and sharing best practices for implementation and operations.
• Maintain clear communication with stakeholders, updating them on status, incidents, and ongoing improvements.
• Create and maintain detailed documentation for systems, processes, and troubleshooting guides.

Senior Fullstack Developer

• Compreender as necessidades técnicas do projeto, participando ativamente de inceptions e refinamentos técnicos;
• Propor e implementar soluções que utilizem GenIA para otimizar operações e processos;
• Contribuir para o desenvolvimento e evolução de soluções escaláveis e de alta performance;
• Realizar integrações entre sistemas, transformando e enviando informações de maneira eficiente;
• Codificar e estruturar testes automatizados (TDD) para garantir a qualidade dos entregáveis;
• Realizar code reviews e fornecer feedback construtivo para o time;
• Apoiar a equipe em dúvidas técnicas e promover o crescimento das habilidades dos colegas;
• Fomentar a formação de sucessores dentro da equipe.

Tech Lead – Software Architecture

Backend Engineer

• Provide technical leadership for a multidisciplinary CI&T team and assist with day-to-day problem resolution;
• Refine and deliver technical solutions across diverse scenarios;
• Work with the development team to ensure high-quality delivery for our client;
• Tackle problem resolution more decisively with a broad, business-oriented perspective;
• Expand the team's knowledge by designing and delivering trainings and dojos.

Mid-level Java Backend Developer

DevOps Engineer

• We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
• With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

Senior DevOps Engineer

Business Analyst

• Understand business requirements, analyze needs, and validate NGSS solution architecture across international use cases
• Maintain strong knowledge of NGSS applications, services, data, and integrations, and communicate effectively with technical and non-technical stakeholders
• Translate requirements into technical specifications and collaborate on solution documentation including APIs, models, and diagrams
• Lead solution hand-offs, support teams through the development lifecycle, manage backlog, identify dependencies and gaps, and validate delivered features
• Analyze current configurations and data and contribute to migration strategies, tools, and implementation approaches.

Senior Tech Business Analyst

Data Engineer

• Design and oversee the implementation of the target Snowflake architecture, ensuring it meets performance, scalability, and security requirements.
• Conduct comprehensive assessments of existing data systems and identify opportunities for improvement.
• Collaborate with stakeholders to define data ingestion strategies and governance frameworks.
• Lead the architecture review process, incorporating feedback from the data team and business users.
• Establish best practices for data integrity, cost efficiency, and performance optimization.

Principal Data Architect

• Provide technical leadership to the development team, offering mentorship, guidance and ongoing support.
• Design, review and implement solutions using .NET 8.0 and C#, ensuring quality, performance and scalability.
• Take a direct role in architectural decisions, defining technical standards and strategies.
• Integrate backend systems with Angular 16+, PostgreSQL and MongoDB.
• Apply and promote best practices such as Clean Code, SOLID and architectural patterns.
• Ensure code quality through technical code reviews, unit tests and solid testing strategies (xUnit).
• Plan, implement and maintain CI/CD pipelines using Azure DevOps, Azure Pipelines and Git/GitFlow.
• Work on messaging and queue architecture using Azure Service Bus.
• Collaborate closely with cross-functional teams, product and stakeholders, ensuring technical alignment and high-impact deliveries.

Tech Lead

• Identify and remediate visibility gaps across a landscape of 100+ applications
• Optimize log aggregation, create complex dashboards, and develop advanced queries (SPL)
• Manage system-level monitoring (CPU, Memory, Disk, Network)
• Configure Application Performance Monitoring (APM) to track business transactions, map dependencies, and identify code-level bottlenecks.
• Correlate data across multiple platforms to provide a holistic view of system health and performance.
• Automate the deployment and configuration of monitoring agents across Windows and Linux environments.
• Provide deep-dive technical support during high-priority incidents.
• Audit the existing monitoring environment to eliminate redundant alerts.

Senior/Specialist SRE

AI Engineer

• Define and lead end-to-end AI architecture for complex ecosystems, balancing technical depth with business outcomes.
• Translate business strategy into scalable AI technology solutions through discovery workshops, assessments, and roadmaps.
• Act as a technical sponsor for CI&T’s most strategic accounts, working closely with C-level clients and non-technical stakeholders.
• Lead architectural design, technology selection, and proof-of-concepts for critical AI platforms and innovation programs.
• Govern technical quality across delivery squads, driving adherence to security, performance, scalability, and privacy standards.
• Support pre-sales, proposal development, RFPs, and technical visioning with account teams and clients.
• Coach and mentor senior architects and technical leads, shaping technical career development paths.

AI Architect

• Contribute as a skilled individual contributor within cross-functional project teams.
• Take ownership of feature development, defect resolution, and system enhancements.
• Write clean, maintainable code.
• Participate in code reviews.
• Debug and troubleshoot technical issues applying systematic diagnostic approaches.
• Collaborate effectively with team members including designers, product managers, and other colleagues.
• Actively participate in agile development processes including sprint planning, daily standups, and retrospectives.
• Seek guidance and mentorship from senior team members.

Mid Software Engineer, Java

• Design, develop, and maintain backend applications and services using Python;
• Architect and evolve AI-powered solutions, from experimentation to production;
• Apply prompt engineering and Retrieval-Augmented Generation (RAG) to real-world use cases;
• Prototype, test, and iterate on AI solutions, balancing experimentation with production readiness;
• Stay current with advances in Generative AI and translate them into practical applications;
• Build and integrate APIs and AI services into existing systems;
• Collaborate closely with Product, Data, and Engineering teams to define technical solutions;
• Ensure code quality, scalability, and reliability through best practices, testing, and code reviews;
• Contribute to architectural decisions and mentor other engineers when needed.

Senior Python Developer, AI

• Lead end-to-end ideation, rapid prototyping (PoCs), and validation of GenAI use cases in engineering workflows.
• Define hypotheses, success metrics, and run experiments (A/B/offline evals) with rigorous, data-driven measurement.
• Present findings and recommendations to senior leadership; iterate toward production-ready solutions.
• Design and build AI agents and agent factories (multi-tool, multi-step, guardrailed) using Python/Node.js.
• Implement orchestration with frameworks and protocols (e.g., LangChain/LangGraph, MCP—Model Context Protocol).
• Integrate workflows with CI/CD pipelines; build reusable components and templates for scale.
• Work hands-on with multiple LLMs and providers (OpenAI/Azure OpenAI, Anthropic, Google, open-source like Llama/Mistral).
• Partner with Engineering, Platform, DevEx, Finance, and Operations to embed AI in delivery workflows.
• Communicate clearly with technical and non-technical audiences; drive alignment and adoption.
• Maintain concise documentation for architectures, prompts/agents, evaluation methods, and playbooks.

Senior Python Developer, AI Specialist

• Provide technical leadership to a multidisciplinary CI&T team and assist with day-to-day problem resolution;
• Refine and deliver technical solutions across a range of scenarios;
• Collaborate with the development team to ensure high-quality delivery for our client;
• Resolve issues more assertively with a broad, business-focused perspective;
• Expand the team’s knowledge by creating and delivering trainings and dojos.

Mid-Level Senior Java Developer

• The developer will work with various technologies and perform a range of technical activities, including coding solutions using different back-end and front-end frameworks.
• The candidate will have the opportunity to work in innovative scenarios, focusing on e-commerce technologies and their integrations with other systems.

Mid Level Fullstack Developer

• The Observability & Monitoring Specialist is responsible for enhancing the visibility, performance, and health of SCT’s application landscape.
• Focus on bridging existing monitoring gaps across 100+ applications by leveraging modern observability solutions to ensure proactive issue detection and rapid incident resolution.
• Work as a core part of the infrastructure team to optimize monitoring stack—specifically Splunk, LogicMonitor, and AppDynamics—to transform raw data into actionable insights.
• Identify and remediate visibility gaps across a landscape of 100+ applications, ensuring full-stack monitoring from infrastructure to the end-user experience.
• Design and implement modern monitoring patterns to move from reactive alerting to proactive anomaly detection.
• Manage platform management with Splunk: Optimize log aggregation, create complex dashboards, and develop advanced queries (SPL).
• Manage system-level monitoring (CPU, Memory, Disk, Network) with LogicMonitor.
• Configure Application Performance Monitoring (APM) with AppDynamics to track business transactions, map dependencies, and identify code-level bottlenecks.
• Correlate data across multiple platforms to provide a holistic view of system health and performance.