CI&T

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

Data Product Manager

Principal

• Lead the technical direction of complex legacy system modernization initiatives from initial assessment through transition and implementation
• Analyze existing applications, architectures, dependencies, databases, and business logic to understand legacy environments
• Define and plan transition architectures and modernization strategies, including progressive legacy-system refactoring
• Guide modernization of database components, including stored procedures and database-dependent application logic
• Use AI tooling to analyze codebases and generate technical documentation supporting modernization decisions and engineering execution
• Apply AI-driven development workflows, including reverse engineering, Spec-Driven Development (SDD), and test generation
• Translate missions and scope into actionable technical plans and evolve them as information and constraints change
• Own end-to-end technical delivery while providing direction and structure to the engineering team
• Support architecture decisions, technical analysis, troubleshooting, and implementation
• Communicate technical progress, risks, dependencies, and architectural decisions to technical and client stakeholders
• Act as the technical interface between client stakeholders and the engineering team

Principal FDE

Artificial Intelligence

• Coordinate and support a software engineering team operating with AI-driven development methodologies
• Take ownership of an initial project mission and scope and evolve it into a clear, actionable delivery plan
• Manage delivery across small, fixed-scope software engineering projects
• Ensure priorities, milestones, dependencies, and risks remain visible and controlled
• Own and deliver project status reports to technical stakeholders
• Act as a professional interface between business/client stakeholders and a high-speed engineering team
• Facilitate communication between technical and non-technical stakeholders
• Ensure expectations and priorities remain aligned
• Identify and communicate delivery risks, blockers, dependencies, and scope changes
• Support the engineering team in maintaining momentum while balancing client expectations and project objectives
• Operate with a high degree of autonomy, adapting plans and priorities as new information emerges
• Create structure and clarity in fast-moving environments while enabling the engineering team to focus on execution

AI Orchestrator

Data Engineer

• Define and communicate the long-term data architecture vision aligned with business strategy
• Lead evaluation and selection of technologies, frameworks, and standards for data architecture
• Establish and promote data management and governance best practices
• Collaborate with leadership teams and stakeholders to align data architecture with business needs
• Explain technical concepts in accessible terms
• Identify and solve complex technical challenges
• Provide advanced technical guidance to data development and architecture teams
• Ensure compliance with data security regulations and standards
• Mentor and empower team members
• Participate in defining and executing the organization's data strategy
• Develop and maintain strategic relationships with technology partners and suppliers
• Represent data architecture in internal and external technical and strategic forums
• Improve data system reliability and cross-team collaboration

Senior Data Architect

Backend Engineer

• Work hands-on with complex, existing Java applications and enterprise codebases
• Analyze and reverse-engineer existing systems to understand architecture, dependencies, business logic, and technical constraints
• Use AI-assisted development tools for code generation, analysis, refactoring, testing, and documentation
• Apply structured AI development approaches, including reverse engineering, Spec-Driven Development (SDD), and automated test generation
• Refactor and modernize existing Java applications, including removing or replacing legacy dependencies and outdated components
• Generate and improve automated tests to support safe modernization and refactoring
• Collaborate with engineering teams and stakeholders to translate requirements and existing system behavior into maintainable technical solutions
• Help establish effective, repeatable AI-assisted development practices across engineering teams
• Maintain high standards for code quality, maintainability, testing, and software engineering best practices
• Help large enterprises transform AI potential into real business impact through AI Deployment, AI-native execution, and tech-integrated business solutions

Senior Forward Deployed Engineer – Java

• Define and communicate the long-term data architecture vision aligned with business strategy
• Lead evaluation and selection of technologies, frameworks, and standards for data architecture
• Establish and promote data management and governance best practices
• Collaborate with leadership teams and stakeholders to align data architecture with business needs
• Explain complex technical concepts in accessible terms
• Identify and anticipate complex technical challenges and propose innovative solutions
• Provide advanced technical guidance to data development and architecture teams
• Ensure data architecture complies with data security regulations and standards
• Mentor and empower team members, especially newer members
• Participate in defining and executing the organization's data strategy
• Develop and maintain strategic relationships with technology partners and suppliers
• Represent data architecture in internal and external technical and strategic forums
• Build reliable, well-engineered data systems using current technology
• Improve data system dependability and cross-team collaboration

Full-stack Engineer

• Guide the engineering team and drive the technical vision, architecture, and delivery of complex back-end software solutions
• Define and evolve technical direction, architecture, and design patterns for back-end services using C#, ADO.NET, and SQL Server
• Oversee implementation, evolution, and standardization of SOAP and REST APIs
• Establish standards for unit and integration testing, monitoring, and root-cause analysis
• Lead code reviews and mentor senior and junior engineers
• Foster engineering excellence and continuous learning
• Oversee integration of legacy and modern systems
• Drive optimization of CI/CD workflows and automated pipelines
• Partner with product managers, stakeholders, and cross-border teams to translate business requirements into scalable technical roadmaps

Software Architect

QA Engineer

• Support quality assurance processes for development teams using generative AI tools
• Generate test cases and automated tests across all layers of the testing pyramid
• Lead QA activities in a fast-paced Agile environment
• Establish quality processes
• Coach developers to deliver quality autonomously
• Automate testing for back-end and front-end systems
• Guide system project decision-making as a central reference and information source
• Help deliver high-quality solutions for clients

Senior QA Engineer

• Serve as a technical point of reference for engineering teams, supporting decisions and providing direction
• Mentor and develop professionals, fostering autonomy, collaboration, and technical growth
• Facilitate discussions, alignment, and the resolution of complex problems
• Promote engineering best practices and knowledge sharing
• Act as a technical point of contact with client leadership
• Lead meetings, presentations, and technical discussions with diverse audiences
• Understand client needs and translate them into technical direction
• Clearly and transparently align expectations, priorities, risks, and dependencies
• Build relationships based on trust, manage conflicts, and foster consensus among stakeholders
• Support the definition and evolution of solution architectures
• Evaluate technical alternatives and their business impact
• Guide solutions using Java, Spring Boot, APIs, microservices, and integrations
• Support decisions related to scalability, security, performance, and quality
• Identify technical risks and opportunities for improvement
• Support the adoption of Generative AI in products and throughout the development lifecycle
• Identify opportunities to apply LLMs and other AI technologies
• Support the integration of AI solutions into existing architectures
• Encourage the strategic and responsible use of AI to create value

Senior Software Architect – Tech Lead, Java, Generative AI

Business Analyst

• Engage directly with clients and business partners to lead analysis and design of Customer Service solutions built on Microsoft Dynamics 365
• Lead requirements gathering and analysis sessions with business partners and customer service stakeholders
• Define and document case management processes from initial intake through resolution
• Design and optimize Microsoft Dynamics 365 Customer Service case management workflows, including case lifecycle configuration, routing rules, queue management, and business process flows
• Translate business requirements into functional specifications for SLA definitions, entitlements, record creation and update rules, and knowledge base integration
• Collaborate with developers, architects, and product owners to align Dynamics 365 configurations with business objectives and compliance standards
• Serve as subject matter expert on Dynamics 365 case management best practices
• Advise on queue structures, case routing strategies, activity management, and Copilot-assisted case resolution features
• Document business processes, operational manuals, and functional specifications supporting standardization, governance, and continuous CRM platform improvement
• Participate in and facilitate workshops, sprint ceremonies, and stakeholder reviews throughout the project lifecycle

Senior Business Analyst

• Lead requirements gathering and analysis sessions with business partners and customer service stakeholders to define and document case management processes from initial intake through resolution
• Design and optimize case management workflows in Microsoft Dynamics 365 Customer Service, including case lifecycle configuration, routing rules, queue management, and business process flows
• Translate business requirements into functional specifications for SLA definitions, entitlements, record creation and update rules, and knowledge base integration
• Collaborate with developers, architects, and product owners to ensure Dynamics 365 configurations align with business objectives and compliance standards
• Serve as the subject matter expert on case management best practices within Dynamics 365, advising on queue structures, case routing strategies, activity management, and Copilot-assisted case resolution features
• Document business processes, operational manuals, and functional specifications supporting standardization, governance, and continuous improvement of the CRM platform
• Participate in and facilitate workshops, sprint ceremonies, and stakeholder reviews throughout the project lifecycle

• Develop and maintain analytical data models, ensuring data quality, governance, and reliability
• Build data transformation pipelines using SQL
• Collaborate with data engineering, product, and business teams within a Data Mesh architecture
• Contribute to best practices for code versioning and peer review
• Actively participate in Agile team ceremonies, contributing to the continuous improvement of processes

Senior Data Engineer

AI Engineer

• Join a delivery team building Generative AI solutions for a global enterprise client
• Take LLM-based use cases from PoC to production
• Build and work on RAG systems
• Develop document intelligence solutions
• Develop conversational AI solutions
• Work mainly on Azure with some AWS workloads

• Work as a Java and AI Developer on a project in the financial sector
• Develop using Java 8 or later, the Spring Framework, and CDI
• Work in AI-first environments
• Develop and integrate frontend applications using Angular and SASS
• Work with RESTful APIs, SQL Server, distributed architecture, microservices, microfrontends, Node.js, and TypeScript
• Use DevOps and CI/CD tools
• Perform testing and automation
• Work with cloud applications, preferably on Azure
• Help turn AI's potential into real business impact

Mid-Level Java and AI Developer

• Build quality assurance practices into product development
• Define testing strategies and apply the testing pyramid
• Implement solutions for regression and acceptance testing
• Implement and promote quality practices across the entire development team
• Actively participate in QA Chapter meetings
• Share knowledge and promote adherence to established standards and practices
• Write test scenarios using Gherkin
• Develop automated tests
• Perform manual testing when necessary
• Create and manage test data sets
• Support the Product Owner during the acceptance phase
• Collaborate with the team to understand the business and deployments
• Define and monitor quality indicators and metrics
• Monitor and document bugs
• Conduct root cause analyses with the development team
• Create action plans to prevent recurrence

Data Product Manager

Principal FDE

AI Orchestrator

Senior Data Architect

Senior Forward Deployed Engineer – Java

Senior Data Architect

Software Architect

Senior QA Engineer

Senior Software Architect – Tech Lead, Java, Generative AI

Senior Business Analyst

Senior Business Analyst

Senior Data Engineer

AI Engineer

Mid-Level Java and AI Developer

Mid-Level QA