CI&T

Cloud Engineer

• Develop applications and automations for content curation, publishing, and management processes
• Build integrations between platforms, APIs, and corporate services
• Enhance workflows, operational cockpits, taxonomies, and conversation reading and analysis tools
• Implement testing, monitoring, and observability to ensure quality and resilience
• Contribute to the development of AI solutions for productivity and the delivery of capabilities to the business
• Support controlled rollout strategies and the continuous evolution of platforms
• Collaborate on building solutions with a real business impact

Data Developer – AWS, AI, Automation

Full-stack Engineer

• Develop and maintain applications using Java and Angular
• Work with Java 17+, Spring Boot, and Spring Batch
• Participate in the development and implementation of technical solutions, taking quality, performance, and scalability into account
• Collaborate with Product, Design, Development, and Quality teams
• Contribute to the adoption of development best practices and coding standards
• Identify and resolve issues while considering the business context
• Contribute to the evolution of the data layer using SQL Server
• Develop and integrate APIs with synchronous and asynchronous communication
• Work on solutions based on microservices and BFF (Backend for Frontend)
• Use artificial intelligence tools throughout the development lifecycle to improve productivity and quality
• Work in an agile environment using Scrum and/or Kanban practices
• Share knowledge and contribute to the team’s technical growth

Full Stack Developer, Java, Angular

• Map, diagnose, and modernize legacy systems
• Ensure application performance and reliability
• Modernize legacy systems using EJB, JSP, WebSphere, and Java 8
• Transform legacy systems into modern microservices using Java 25 and Angular
• Analyze and document components of legacy systems with the assistance of AI
• Implement development standards and practices that improve efficiency
• Work with monitoring, APM, metrics, structured logging, and performance troubleshooting
• Work in sprints with incremental deliveries

AI Full-Stack Developer, Java/Angular

Backend Engineer

• Develop and implement microservices using Go, ensuring scalability and efficiency
• Design and implement AWS solutions that use messaging systems
• Integrate and manage APIs to ensure efficient data exchange between systems
• Use containerization technologies to package and deploy applications
• Work on a project in the financial services sector
• Build and maintain platforms that support cloud applications (preferred)

Specialist, AWS Cloud Application – Go

Data Engineer

• Build and maintain Azure Data Factory pipelines, ingestion flows, and Bronze layer data contracts under the Data Engineer Lead's direction
• Manage source system integration points: Infor SyteLine, Infor ION, Dynamics CRM, Workday, OneStream, and Fusion PLM
• Ensure pipeline reliability, SLA compliance, and incident response for all ingestion flows
• Apply platform standards and CI/CD practices established by the Core Team's Data Architect
• Support Bronze schema definition and validation
• Support ingestion pipeline architecture design in partnership with the Data Engineer Lead
• Escalate and troubleshoot incidents affecting pipeline reliability

Master DataOps Developer

Software Engineer

Senior Data Developer

Data Analyst

Senior Data Analyst, Data Quality & Reporting

Analytics Engineer

Senior Data & Analytics Specialist

• Build, optimize, and maintain scalable data pipelines and ETL/ELT processes for analytics and business intelligence
• Implement data architectures, including data lakes, warehouses, and integration layers
• Implement data quality checks, validation processes, and monitoring systems
• Develop and maintain integrations between data sources, third-party tools, and analytics platforms
• Collaborate with Data & Analytics Managers, data scientists, and business stakeholders to deliver technical solutions
• Monitor and optimize data pipeline performance, query efficiency, and storage costs
• Create and maintain technical documentation for data architectures, pipelines, and processes
• Implement security best practices and ensure compliance with data privacy regulations
• Leverage AI tools and automation to enhance data engineering workflows and productivity

DevOps Engineer

• Orchestrate end-to-end delivery within an AI-driven continuous development model
• Perform SRE monitoring and execute findings identified across healthcare application journeys
• Govern the entire flow from upstream through production
• Map and govern the SDLC Value Stream
• Lead lead-time reduction initiatives
• Orchestrate workflows across teams and AI agents
• Ensure compliance and human validation at critical points
• Assess the feasibility and ROI of agentic solutions
• Bridge strategy and technical execution with the AI Engineer and AI Deployment Engineer
• Coordinate people and AI agents

AI Orchestrator – App SRE

• Build and maintain Azure Data Factory pipelines, ingestion flows, and Bronze layer data contracts under the Data Engineer Lead's direction
• Manage source system integration points including Infor SyteLine, Infor ION, Dynamics CRM, Workday, OneStream, and Fusion PLM
• Ensure pipeline reliability, SLA compliance, and incident response for all ingestion flows
• Apply platform standards and CI/CD practices established by the Core Team's Data Architect
• Support Bronze schema definition and validation
• Support ingestion pipeline architecture design in partnership with the Data Engineer Lead
• Escalate and troubleshoot incidents affecting pipeline reliability
• Build pipelines and ingestion into OneLake for ATL Technology's Foundation Pod

AI Engineer

• Architect and build the modernization solution for HCL portals using Angular, Node.js, and Spring Boot on AWS cloud, from architecture through tested code
• Participate in strategically mapping the current environment and defining the target architecture together with the 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 application development
• Apply modern software architecture and engineering principles, including microservices, event-driven systems, queues, CI/CD, TDD, and automation
• Translate functional 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, track and document activities, and propose continuous improvements
• Remain accountable for the application delivered to production and for the quality of deliverables

AI Engineer, APP SRE Architecture

Product Manager

• Lead data-driven solutions for customers
• Oversee the entire lifecycle of data products, from ideation and development to deployment and optimization
• Provide data analysis supporting business and digital product growth through data visualization
• Lead cross-functional teams including data scientists, engineers, and analytics specialists
• Develop and deliver high-quality data products
• Attract, retain, develop, mentor, and train data talent
• 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
• Balance strategic management with hands-on execution and day-to-day operations

Data Developer – AWS, AI, Automation

Full Stack Developer, Java, Angular

AI Full-Stack Developer, Java/Angular

Specialist, AWS Cloud Application – Go

Master DataOps Developer

Senior Data Developer

Senior Data Analyst, Data Quality & Reporting

Senior Data & Analytics Specialist

Senior Data Developer

Senior Data Developer

AI Orchestrator – App SRE

Senior Data & Analytics Specialist

Senior Data Developer

AI Engineer, APP SRE Architecture

Data Product Manager