CI&T

Product Manager

• Provide data analysis that supports business and digital product growth through data visualization
• Lead cross-functional teams, including data scientists, engineers, and analytics specialists, to develop and deliver high-quality data products
• Attract, retain, and develop top data talent
• Mentor and train team members to foster growth and motivation
• Collaborate with technical and business teams to understand data needs and priorities
• Communicate the value of data initiatives
• Prioritize tasks and define the roadmap while balancing competing stakeholder demands
• Oversee the entire lifecycle of data products, from ideation and development to deployment and optimization
• Balance strategic management with hands-on execution for data-driven initiatives

Data Product Manager

AI Engineer

• Code software solutions from architecture through tested code, using the agentic SDLC and AI as development accelerators
• Resolve performance issues across healthcare application journeys
• Lead development using Angular, Node.js, and Spring Boot for the AWS cloud
• Remain accountable for the application delivered to production
• Participate in strategically mapping the current environment and defining the target architecture
• Contribute to the modernization plan for healthcare portals
• Gather, document, and refine functional and non-functional requirements with business and technology teams
• Build, customize, and orchestrate agents, skills, subagents, commands, and harnesses
• Apply microservices, event-driven systems, queues, CI/CD, TDD, and automation
• Translate requirements into viable, simple, and scalable technical solutions
• Evaluate solutions, agents, and skills through evals, testing, and red teaming
• Apply Scrum and Kanban agile methodologies, documenting activities and proposing continuous improvements

AI Engineer, SRE

• Work on an AI-driven software development lifecycle transformation program
• Design, implement, and evolve agentic workflows that transform the SDLC for the development teams of a strategic client in the benefits industry
• Customize and configure generative AI platforms for specific SDLC needs, including skills, personas, prompts, and contexts
• Develop and maintain agentic workflows integrated with the development pipeline (Azure DevOps, Git, CI/CD)
• Integrate AI agents into multiple stages of the SDLC: analysis, refinement, development, testing, and deployment
• Tune agent parameters and strategies for optimal performance at each stage
• Plan and execute the AI infrastructure roadmap in collaboration with the AI Orchestrator
• Automate development stages while maintaining quality, security, and compliance standards (SonarQube, Veracode, test coverage)
• Identify and mitigate technical risks associated with using agents in production environments
• Ensure compliance with ethical and regulatory standards in implemented AI solutions

AI Engineer, Agentic SDLC

Full-stack Engineer

• Support development of web applications using Node.js and React under the mentorship of experienced developers
• Develop clean, testable, and maintainable code
• Assist in building and maintaining web applications using React, Node.js, and TypeScript
• Participate in code reviews and contribute to team standards
• Collaborate with team members to gather business requirements and transform them into technical solutions
• Identify and troubleshoot bugs to ensure product quality and minimize technical debt
• Engage in continuous learning of databases, AWS services, architecture, and other complementary tools

Junior FullStack Developer – NodeJS, React

iOS Engineer

• Develop and maintain functionalities in iOS applications using Swift and modern architectures such as MVVM
• Understand the business domain and propose technical solutions that add value to end users
• Identify technical debt and continuous-improvement opportunities, including refactoring and technology evolution
• Write clean, readable, testable code and create unit tests regularly
• Integrate applications with RESTful APIs and consume backend services efficiently
• Manage project dependencies and libraries using Swift Package Manager or CocoaPods
• Participate in code reviews and help investigate and resolve bugs
• Participate in agile ceremonies and technical discussions about new features with the international team
• Collaborate with the Product team and global colleagues on an innovative Syngenta (AMP) project

Mid-Level iOS Developer

QA Engineer

• Own and evolve the quality strategy for the webhook solution
• Become deeply familiar with the existing codebase, architecture, APIs, integrations, and business workflows
• Design and execute functional, integration, API, regression, and end-to-end testing
• Develop and maintain automated test suites across appropriate application layers
• Validate webhook events, payloads, responses, retries, error handling, and failure scenarios
• Test integrations across dependent systems and identify potential integration risks
• Validate authentication, authorization, permissions, and security-related scenarios
• Define quality gates and release-readiness criteria
• Identify defects early and collaborate with engineers to diagnose and resolve them
• Perform root-cause analysis and improve overall quality
• Embed quality throughout the software development lifecycle
• Leverage Agentic SDLC and AI-powered engineering capabilities for test design, automation, codebase analysis, and quality improvement

Mid-Level Quality Engineer

• Lead and support multiple Data Engineering teams, fostering a collaborative, innovative, and high-performance environment
• Provide technical mentorship and guidance to engineers
• Promote engineering best practices, code quality, and continuous improvement
• Design, review, and oversee scalable data solutions using Databricks and modern cloud technologies
• Define and enforce coding standards, architecture principles, and documentation guidelines
• Conduct code reviews and provide technical feedback
• Drive process optimization, automation, and engineering excellence initiatives
• Stay current with industry trends and best practices in Data Engineering and Analytics
• Review and validate technical deliverables against engineering standards and client expectations
• Establish and improve quality assurance processes for data integrity, reliability, and governance
• Support scalable and sustainable data architecture practices
• Partner with clients to understand business and technical requirements
• Act as a trusted technical advisor aligned with client goals and standards
• Facilitate communication among technical teams, stakeholders, and business partners for successful project delivery

Data Tech Lead

• Architect and build modernization solutions for HCL healthcare portals
• Develop with Angular, Node.js, and Spring Boot for AWS cloud, from architecture through tested code and production deployment
• Strategically map the current environment and guide the to-be architecture with the lead architect
• Gather, document, and refine functional and non-functional requirements with business and technology teams
• Build, customize, and orchestrate agents, skills, subagents, commands, and harnesses to accelerate development
• Apply microservices, event-driven systems, queues, CI/CD, TDD, and automation
• Translate requirements into viable, simple, and scalable technical solutions while avoiding over-engineering
• Evaluate solutions, agents, and skills through evals, testing, and red teaming
• Apply Scrum and Kanban methodologies, document activities, and propose continuous improvements

AI Engineer – Modernization

Scrum Master

• Build and support agile teams, ensuring they maintain and increase delivery velocity
• Closely monitor throughput and productivity metrics, identifying and addressing dysfunctions
• Understand and refine requirements with support from architects
• Plan deliverables and track the team’s progress
• Remove impediments and communicate activity status
• Support discussions on solutions, internal conflicts, product-related matters, and communication with the team

Scrum Master / Squad Lead

• Work on a specialized squad focused on building, enhancing, and maintaining test automation architectures
• Create robust, scalable automated test suites integrated into CI/CD pipelines
• Develop, architect, and maintain automation frameworks and framework foundations for Web, Mobile, and REST APIs
• Integrate and optimize automated test execution in CI/CD pipelines to enable continuous feedback
• Analyze test scenarios and transform them into clean, reusable, and maintainable code
• Collaborate with development teams and clients to align automation strategies, mocks, and test data
• Monitor, analyze, and address flaky tests and failures in automated executions
• Ensure high coverage across Web, Mobile, and APIs

Junior QA Automation

• Design and evolve scalable, secure, and high-performance software architectures aligned with business goals
• Define architectural patterns, technical standards, and engineering best practices for .NET-based solutions
• Lead architectural documentation, including system diagrams, design decisions, and integration strategies
• Conduct architecture reviews across squads and provide structured technical feedback
• Drive adoption of best practices in .NET Core / .NET 6+ development
• Guide teams on advanced C# concepts and design patterns
• Define and enforce standards for RESTful API design and implementation
• Support and mentor senior and mid-level developers
• Design and oversee relational database architectures using SQL Server or equivalent
• Define standards for data modeling, query optimization, and transaction management
• Ensure database performance, scalability, and integrity across environments
• Evaluate data access patterns and ORM usage, such as Entity Framework
• Architect integrations between internal and external systems
• Define strategies for microservices, event-driven architecture, or SOA where applicable
• Collaborate with DevOps teams to ensure cloud-ready solutions, preferably on Azure
• Contribute to CI/CD pipeline design and promote DevSecOps culture

Software Architect

Software Engineer

• Lead the development of mobile solutions using Flutter
• Ensure code quality and adherence to architectural standards
• Evaluate new technologies for the ecosystem
• Collaborate with Product Owners, designers, and stakeholders to translate requirements into intuitive interfaces
• Align delivery expectations
• Mentor mid-level and junior developers
• Conduct code reviews and promote development and testing best practices
• Ensure defects are resolved
• Prepare technical documentation for processes
• Participate in team ceremonies: Planning, Daily Stand-up, Demo, and Retrospective
• Join the team responsible for Prudential's customer journey
• Develop mobile solutions focused on product evolution, architectural quality, and value delivery within the life insurance ecosystem

Mid-Level Flutter Developer

• Work as a Junior Full-Stack Developer (Java + Angular)
• Work with one of CI&T’s largest clients in the financial sector
• Develop solutions using Java, Spring Framework, CDI, and Angular
• Work collaboratively and proactively with teams and clients
• Take on new challenges with responsibility, autonomy, and strong communication skills
• Contribute to delivery across development, testing, automation, DevOps, and CI/CD environments

Junior Full-Stack Developer, Java, Angular

Data Engineer

• Work across the full data lifecycle: ingestion into the Lake/S3, Bronze, Silver, and Gold layers, feature store, distribution layer, and delivery to the customer
• Replace manual orchestration with native, automated Databricks orchestration
• Implement data quality processes across all pipeline layers, from the Lake through final delivery
• Develop and parameterize existing workflows
• Contribute to the billing engine for product data usage
• Contribute to the archiving engine by standardizing file distribution through multiple channels, such as buckets, SFTP, and Connect
• Work on a project to structure and accelerate the data platform, which operates more than 700 Databricks pipelines
• Collaborate with platform, product/digital channel squads, and internal engineering teams

Senior Data Engineer – Databricks

• Identify, investigate, and remediate vulnerabilities in applications
• Support the migration of legacy projects
• Manage dependencies
• Interact directly with clients and stakeholders
• Resolve complex problems independently
• Adapt to fluctuations in demand volume