CI&T

Full-stack Engineer

• Develop and implement applications using Java (versions 17 to 25) with Spring Framework and CDI
• Create interactive and responsive interfaces in Angular 21
• Style frontend components using SASS
• Design and integrate RESTful APIs and work with SQL Server
• Contribute to distributed architecture, microservices, and microfrontends
• Collaborate in Node and TypeScript environments
• Use DevOps and CI/CD tools, including Bitbucket, Bamboo, Sonar, Fortify, DAST, and Docker
• Perform testing and implement process automation
• Work with cloud applications, preferably on Azure
• Actively participate in Scrum processes
• Tackle complex technical challenges and contribute to scalable, high-performance solutions

Mid-Level Full-Stack Developer, Java, Angular

• Lead the development of full-stack solutions using .NET and Angular.
• Supervise the review, validation, and critical analysis of automatically generated code.
• Implement and orchestrate AI tools for software development, such as OpenAI APIs and GitHub Copilot.
• Structure AI-driven development workflows, ensuring code quality and maintainability.
• Develop robust, scalable RESTful APIs with .NET.
• Create efficient, responsive user interfaces using Angular 19+.
• Apply software design principles (SOLID, KISS) to keep code modular and reusable.
• Implement appropriate Design Patterns to solve architectural challenges.
• Perform automated testing (unit and integration) to ensure software quality.
• Manage and optimize relational databases such as PostgreSQL and SQL Server.
• Use Docker and docker-compose for application development and deployment.
• Monitor systems with observability tools such as Datadog, Grafana, and ELK.
• Work with distributed systems and messaging platforms (RabbitMQ, Kafka, Service Bus).
• Collaborate on DevOps practices, preferably in Azure environments.
• Interact with clients in English (intermediate to advanced level).

Tech Lead, .NET / Angular

Backend Engineer

• Design and modernize enterprise applications on AWS
• Architect and implement serverless and containerized applications using AWS Lambda, Step Functions, and ECS/EKS Fargate
• Account for resilience, concurrency, dead-letter queues (DLQs), retries, and costs
• Design contract-first APIs with API Gateway and OpenAPI 3.x
• Implement versioning, authentication, and real-time channels, including SSE and MCP
• Develop event-driven architectures with SNS, SQS, and EventBridge
• Ensure ordering, idempotency, and low latency
• Integrate generative AI into production, including agents, Amazon Bedrock, RAG, and Guardrails
• Conduct quality assessments of AI solutions

AWS Specialist, Python Developer

AI Engineer

• Develop and evolve Generative AI and agentic applications
• Build RAG-based solutions and enterprise knowledge retrieval components
• Implement AI agents that interact with tools, APIs, databases, and enterprise systems
• Work with orchestration patterns such as multi-step workflows, tool use, and Human-in-the-Loop
• Integrate LLM providers and cloud AI services
• Design maintainable and testable components following good software engineering practices
• Implement and maintain evaluation, observability, guardrails, and monitoring capabilities
• Write automated tests and contribute to CI/CD pipelines
• Troubleshoot and improve AI applications in production with support from senior team members
• Collaborate with engineers, architects, product teams, and business stakeholders
• Work closely with senior engineers, architects, and product teams to build and evolve AI solutions from experimentation to production

Mid-Level AI Engineer

• Own AI solutions from technical discovery through production and continuous improvement
• Design and evolve Generative AI, RAG, and agentic applications
• Define technical approaches considering quality, scalability, security, cost, maintainability, and operational impact
• Design agents and workflows that interact with tools, APIs, databases, messaging systems, and enterprise platforms
• Define orchestration patterns such as Human-in-the-Loop, long-running workflows, retries, fallback strategies, and deterministic controls
• Establish evaluation, observability, guardrails, and reliability practices for AI applications
• Guide model, retrieval, framework, and infrastructure choices based on technical trade-offs
• Troubleshoot complex production issues involving models, prompts, retrieval, tools, integrations, and infrastructure
• Collaborate with architects, engineers, product teams, and business stakeholders, providing technical guidance when needed
• Support other engineers and contribute to engineering standards and best practices for AI solutions

Senior AI Engineer

• Work with CI&T on a project for a client in the financial services industry
• Support the team’s technical leadership by contributing best practices and providing guidance to other developers
• Perform agile, high-quality deployments, ensuring reliable releases to production

Senior Java Developer

Cloud Engineer

• Design and maintain the critical infrastructure supporting the operation of AI agents on Oracle Cloud Infrastructure (OCI)
• Ensure 99.95% availability and stringent response-time requirements
• Provision OCI resources using Terraform, ensuring robust and auditable infrastructure as code
• Manage OKE clusters with GPU node pools for inference, ensuring performance and availability
• Configure autoscaling (HPA) based on AI agent latency and workload
• Ensure network security in private VCNs, including the configuration of NSGs and Service Gateways
• Manage secrets in OCI Vault, maintaining compliance and credential protection
• Proactively monitor the platform through OCI Observability (Monitoring, Logging, and APM)
• Support FinOps initiatives to control and optimize GPU and generative AI token costs

Senior SRE / Cloud Engineer, Platform Engineer

Solutions Engineer

• Develop and maintain the integration layer connecting AI agents to clients’ systems and CRMs
• Develop RESTful APIs and connectors using the Model Context Protocol (MCP) to integrate AI agents with enterprise systems
• Perform deep integrations with billing and CRM systems, including Salesforce/Amdocs
• Orchestrate micro-activities supporting agents, ensuring reliable and scalable data flows
• Ensure conversation context is preserved in asynchronous integrations
• Implement the Outbox pattern for messaging with OCI Streaming
• Ensure authentication and security across integrations using mTLS and OAuth2

Senior Backend/Integration Engineer

• Develop Python-based customer service orchestrators for voice and chat channels
• Configure security layers using NeMo Guardrails
• Integrate enterprise tools (CRM, Billing) through MCP Servers
• Ensure trace instrumentation for monitoring costs and performance via Langfuse
• Implement low-latency, high-accuracy conversational flows
• Collaborate with SREs on deployment to OKE
• Collaborate with data scientists to refine the quality of LLM responses
• Develop and orchestrate Generative AI agents on GPU infrastructure in Oracle Cloud (OCI)

Senior AI Developer

Security Engineer

• Maintain and enhance the Cybersecurity Risk Management Process
• Continuously identify, log, and analyze control nonconformities and unresolved or high-risk vulnerabilities across different sources
• Maintain the Risk Registry
• Deliver timely risk treatment updates and reports to stakeholders
• Execute annual third-party cybersecurity risk assessments aligned with internal risk standards and external compliance requirements
• Maintain and enhance the cybersecurity control framework
• Map existing controls and collect evidence of execution
• Identify gaps and nonconformities
• Align overlapping requirements under a unified structure
• Ensure adherence to HITRUST, HIPAA, and Spain ENS certification frameworks
• Create and maintain cybersecurity-related policies and procedures
• Ensure documentation complies with regulatory and contractual standards

Senior GRC Security Specialist

• Continuously identify, log, and analyze control nonconformities and unresolved/high-risk vulnerabilities across different sources.
• Maintain the Risk Registry and deliver timely risk treatment updates and reports to stakeholders.
• Execute annual third-party cybersecurity risk assessments, ensuring alignment with internal risk standards and external compliance requirements.
• Maintain and enhance the cybersecurity control framework by mapping existing controls, collecting evidence of execution, identifying gaps or nonconformities, and aligning overlapping requirements under a unified structure.
• Ensure adherence to frameworks such as HITRUST, HIPAA, and Spain ENS certification.
• Create and maintain cybersecurity-related policies and procedures.
• Ensure documentation complies with regulatory and contractual standards.

• Develop and enhance components, templates, and Content Fragments in AEM Sites, ensuring marketing teams can edit content independently
• Implement responsive and accessible interfaces from Figma designs, with close attention to visual detail, cross-browser compatibility, and mobile-first principles
• Optimize web performance and Core Web Vitals (LCP, CLS, INP), including lazy loading, image optimization, critical CSS, and JavaScript reduction
• Maintain and expand the squad’s Design System/component library, promoting reuse and visual consistency
• Build backend integrations in AEM, including servlets, Sling Models, workflows, schedulers, and REST API consumption/exposure
• Implement and validate tagging and tracking (Adobe Analytics/GTM/dataLayer) in collaboration with marketing and data teams
• Support campaigns and activations through landing pages, A/B testing, and personalization
• Participate in code reviews, Git version control, and CI/CD pipelines (Cloud Manager) across development, staging, and production environments
• Participate in the squad’s agile lifecycle, including refinement, planning, and daily stand-ups, working with the Product Owner, UX, and marketing teams
• Build digital experiences for the bank’s corporate websites, campaign landing pages, content hubs, and product pages

Mid-Level Full Stack Developer, AEM

• Develop and enhance components, templates, and Content Fragments in AEM Sites
• Implement responsive and accessible interfaces based on Figma designs
• Optimize web performance and Core Web Vitals using lazy loading, image optimization, critical CSS, and JavaScript reduction
• Maintain and expand the Design System and component library
• Build backend integrations in AEM, including servlets, Sling Models, workflows, schedulers, and REST APIs
• Implement and validate tagging and tracking with Adobe Analytics, GTM, and the data layer
• Support campaigns and activations with landing pages, A/B testing, and personalization
• Participate in code reviews, Git version control, and CI/CD pipelines through Cloud Manager across development, staging, and production environments
• Participate in the squad’s agile lifecycle, including refinement, planning, and daily stand-ups, in collaboration with the PO, UX, and marketing teams

Senior Full Stack AEM Developer

• Design, develop, and deploy .NET-based microservices on cloud providers
• Develop responsive frontend applications using React
• Implement and maintain CI/CD pipelines for automated build, testing, and deployment
• Integrate APIs and third-party services
• Mentor junior developers and support project delivery
• Stay up to date with emerging technologies and industry trends
• Design, develop, and implement scalable, robust cloud software solutions

Full-Stack .NET Developer

Product Manager

• Lead the full life cycle of data products from ideation through deployment and optimization
• Manage the complete data lifecycle, from data generation through pipelines to data enablement
• Understand data architecture and infrastructure, including storage, integrations, and analytics platforms
• Collaborate with technical and business teams to define roadmaps and prioritize tasks based on business value
• Analyze data types, relationships, patterns, and trends through data profiling
• Document clear, specific, and achievable data requirements with internal and external stakeholders
• Understand business workflows, sources, entities, and attributes
• Validate products with users against real use cases using data and metrics
• Monitor product performance through metrics and KPIs and drive continuous improvement
• Support AI incorporation into team workflows
• Lead cross-functional teams of data scientists, data developers, and analytics specialists
• Attract, retain, and develop data talent through mentoring, training, and growth opportunities

Mid-Level Full-Stack Developer, Java, Angular

Tech Lead, .NET / Angular

AWS Specialist, Python Developer

Mid-Level AI Engineer

Senior AI Engineer

Senior Java Developer

Senior SRE / Cloud Engineer, Platform Engineer

Senior Backend/Integration Engineer

Senior AI Developer

Senior GRC Security Specialist

Senior GRC Security Specialist

Mid-Level Full Stack Developer, AEM

Senior Full Stack AEM Developer

Full-Stack .NET Developer

Data Product Manager