CI&T

QA Engineer

• Collaborate in defining and executing the testing strategy to ensure continuous, high-quality deliveries;
• Establish quality processes within the team, considering tools, workflows, and promoting a quality-focused mindset;
• Assess the quality of delivered software, proposing continuous improvements to both the product and the team's code.

Mid-level QA Automation, PWD

Backend Engineer

• Support CI&T in serving a client in the financial sector;
• Develop both backend and frontend components;
• Develop and maintain high-quality, high-performance microservices;
• Actively participate in all phases of the software development lifecycle, including technical refinement, development, testing, and deployment;
• Collaborate with the team to propose and implement technical solutions aligned with business requirements;
• Participate in code reviews, ensuring quality and adherence to best practices.

Mid-Level Fullstack Java – Angular Developer

Project Manager

• Pre-Sales & Client Strategy: Partner with the sales team to join discovery calls, define project scopes, and estimate timelines/budgets for prospective clients.
• End-to-End Delivery: Lead multiple projects simultaneously, ensuring they are delivered on time, within scope, and at the highest quality standard.
• Stakeholder Management: Serve as the primary point of contact for clients, managing expectations and providing transparent status updates.
• Agile Governance: Implement and facilitate Scrum and Kanban workflows, including daily stand-ups, sprint planning, and retrospectives.
• Resource Coordination: Collaborate with technical and creative teams to remove blockers and optimize workflow efficiency.

DevOps Engineer

• Continuously monitor system health, creating effective alerts and ensuring proactive incident coverage.
• Advance observability by instrumenting infrastructure and application metrics and customizations, and support end-to-end troubleshooting.
• Design and implement observability solutions integrating logs, metrics, traces and events.
• Create and manage informative dashboards for visualization of critical data.
• Develop structured logging and implement tracing infrastructure to improve event traceability.
• Instrument APM (Application Performance Monitoring) with dashboards that provide valuable insights into application performance.
• Create and manage alerts for effective monitoring and early problem detection.
• Lead chaos engineering practices by creating and executing hypotheses to test system resilience.

Senior DevOps Engineer / SRE

Machine Learning Engineer

• Design and develop robust and scalable AI solutions for business problems.
• Effectively utilize foundation models available on Amazon Bedrock and Amazon Sagemaker to meet our customers' performance needs.
• Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes.
• Strong communication skills, with attention to detail and the ability to convey rigorous mathematical concepts and considerations to non-experts.

Master AI/Machine Learning Specialist, AWS

Software Engineer

• Conduct root-cause investigations of performance issues and implement definitive solutions, also improving the application architecture to anticipate future problems.
• Participate in the analysis and development activities for Via Varejo's e-commerce platform, focusing on delivery quality and client-area satisfaction.
• Work on fixes, improvements, and new projects from a prioritized backlog, always ensuring not to impact the apps' purchasing flow.
• Track the activity lifecycle from analysis and remediation through to production release.
• Ensure product quality, overseeing the development pipeline, testing (homologation), and production environments.

Master iOS Developer, Swift

Frontend Engineer

• Actively participate in technical refinement sessions.
• Develop frontend applications (web / mobile).
• Identify and propose architectural and technological improvements for frontend solutions and integrations.
• Monitor adherence to software development best practices.
• Ensure high test coverage across projects.
• Collect and export application performance metrics.
• Anticipate opportunities and issues, acting proactively to implement preventive solutions.
• Assist in mentoring the team and contribute to project decision-making.

Front End Developer, Angular, Senior

Platform Engineer

• Be an integral part of the Application Managed Services team, collaborating closely with application developers, infrastructure engineers, business analysts, and IT leadership to architect, maintain, and optimise mission-critical database solutions.
• Design, maintain, and optimise relational database structures to support application and reporting needs.
• Design, install, configure, and manage enterprise Microsoft SQL Server databases and Azure SQL services.
• Architect and implement high availability (HA), disaster recovery (DR), and replication solutions.
• Automate routine DBA tasks via PowerShell, T-SQL, and DevOps pipelines.
• Perform advanced performance tuning, query optimisation, indexing strategies, and capacity planning.
• Analyse SQL execution plans and resolve complex database bottlenecks.
• Enforce database security policies, including encryption, role-based access, and auditing.
• Ensure compliance with GDPR, ISO27001, and other regulatory frameworks.
• Define and test robust backup/recovery strategies and recovery time objectives (RTO/RPO).
• Lead recovery efforts during critical incidents.
• Act as SME for database architecture in projects and technical design reviews.
• Partner with DevOps and development teams to align database design with CI/CD practices.
• Create and maintain comprehensive documentation for systems, processes, and standards.

Senior Database Platform Engineer

• Migration Execution (Refactoring & Modernization): Analyze and migrate legacy notebooks and pipelines (Spark/Databricks). This includes refactoring existing logic to the new architecture as well as fully rewriting processes (modernization) into SQL/Dataform or Dataflow.
• Building ELT/ETL Pipelines: Develop and maintain data transformations using BigQuery and Dataform (SQL) to create Trusted/Silver and Gold layers, ensuring data quality, deduplication, and standardization.
• Data Ingestion (Batch & Streaming): Implement ingestion patterns using Dataflow (Apache Beam) for event consumption (Kafka/Event Hubs) and Datastream for CDC from transactional databases. Work with data persistence in the Raw layer using Iceberg tables managed via BigLake.
• Automation and Infrastructure as Code (IaC): Use Terraform to provision data resources (datasets, tables, views) and manage pipelines via CI/CD (GitHub Actions), following an Ingestion Factory model and domain-separated repositories.
• Quality and Governance: Implement data quality tests (assertions in Dataform) and ensure data cataloging and lineage using Dataplex and Analytics Hub for secure sharing across domains.

Data Developer, Mid-level

• Develop features and architectural components.
• Ensure the quality of the team's delivery through code reviews, static analyzers, and automated tests.
• Participate in business rituals, and assist in the technical detailing of the solution.
• Support the structuring of Continuous Delivery by promoting technical discussions and raising important points for the solution.
• Assist the team in their individual career progression.
• Work with a focus on results, serving as a reference for the team.
• Developing features and architectural components.
• Ensuring the quality of the team's delivery through code reviews, static analyzers, and automated tests.
• Participating in business rituals, and assisting in the technical detailing of the solution.
• Supporting the structuring of Continuous Delivery by promoting technical discussions and raising important points for the solution.
• Assisting the team in their individual career progression.
• Working with a focus on results, serving as a reference for the team.

Senior iOS Developer

Data Engineer

• Design, develop, and maintain data pipelines using Databricks (PySpark or Scala).
• Work with GCP, especially BigQuery, for data modeling and optimization.
• Ensure data ingestion, transformation, and quality for AI models.
• Collaborate with data scientists and analysts to provide clean, reliable data.
• Document processes and architectural decisions.
• Familiarity with machine learning frameworks and libraries (eg: TensorFlow, PyTorch).

Senior Data Engineer, AI Enablement

• Work alongside CI&T to support a financial services client;
• Provide technical leadership support to the team;
• Perform agile, high-quality deployments;

Developer, Java/Kotlin

Salesforce Developer

• Design and implement solutions on Salesforce platform
• Collaborate with cross-functional teams to drive successful tech transformations
• Ensure the quality and scalability of solutions developed
• Maintain and optimize Salesforce system performance

Senior Salesforce Architect

Artificial Intelligence

• Serve as the primary person responsible for managing and engaging the community, fostering conversations, responding to interactions, and ensuring a positive and collaborative environment.
• Translate technical concepts and updates about AI and Flow into clear, accessible, and easily shareable messages.
• Create strategic content for digital channels, such as posts, short videos, podcasts, and visual publications, keeping up with AI market trends.
• Plan, organize, and host webinars, livestreams, and online and in-person events, including guest curation and moderating panels.
• Act as the voice of the user by collecting community insights and conveying learnings to internal product, design, and technology teams.
• Contribute to the evolution of Flow's global communication strategy and positioning.

Senior Community – AI & Tech Enthusiast

• Lead a cross-functional development team, ensuring the delivery of high-quality solutions.
• Mitigate technical and delivery risks.
• Review and provide input on technical and architectural solutions proposed by the team.
• Manage the team's roadmap and activities, ensuring alignment with strategic priorities.
• Approve and oversee production deployment planning.
• Monitor production incidents and ensure their resolution.
• Monitor technical and operational metrics.
• Be responsible for the team's rituals (dailies, planning, retrospectives, and PDCA routines with management).
• Ensure planning and estimation of solutions.
• Manage functional and non-functional backlogs, aligning priorities with stakeholders.