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Lead backend development in Kotlin/Java for a major Brazilian bank, designing scalable microservices, mentoring engineers, and enforcing clean-code practices and TDD.
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in…
Build and maintain scalable data pipelines in Azure Databricks, design governed data models, and deploy ML solutions to production using PySpark, SQL, and CI/CD.
Build and evolve CI/CD pipelines, cloud-native infrastructure, and DevSecOps practices for a high-scale payment platform handling Pix, boleto, and credit cards on Azure.
Build and lead Salesforce implementations with AI integrations, including Apex, LWC, and Einstein AI, while managing deployments and supporting platform evolution.
Build and evolve Java/Spring Boot backend and Angular frontend apps while integrating AI agents to modernize SDLC and boost productivity.
Build and maintain data pipelines and analytical models on Azure to support business decisions, using Python, PySpark, SQL, and Azure Databricks.
Designs and runs automated end-to-end tests for a Brazilian bank’s web channels using Cypress and SonarQube, ensuring performance, security, and reliability.
Senior Data Business Analyst bridges business and tech to map, validate, and migrate data from legacy systems to Manhattan WMS for a supply-chain client, using BI tools and Agile workflows.
Build and evolve a native iOS app using Swift, UIKit, and SwiftUI, ensuring high-quality delivery through code reviews, tests, and architectural improvements.
Build and maintain distributed full-stack apps using React/Next for frontend and Python (Django/FastAPI/Flask) for backend, deployed on AWS with Kafka, CI/CD, and DevSecOps practices.
Build and modernize full-stack applications for an automotive client using Java/Spring Boot back-end and Angular front-end, with cloud (GCP) and AI tooling.
Build and maintain automated evaluation harnesses for AI agents using Python, Pytest, and Langfuse to test safety, compliance, and accuracy against regulatory and human benchmarks.
Mid-level backend developer building Kotlin services on AWS (EKS, DynamoDB, SQS) and streaming pipelines, with a focus on AI-assisted coding and security best practices.
Build and deploy Java 11/Spring Boot microservices for a major bank, mentor junior devs, and automate tests on AWS with PostgreSQL.
Build and modernize a large-scale data platform on GCP, migrating from Azure/Databricks to a Data Mesh architecture with ELT/ETL pipelines, streaming, and governance using BigQuery, Dataflow, Spark, and Iceberg.
Build and maintain scalable MLOps pipelines on Databricks and Azure to deploy, monitor, and govern AI models in production using PySpark, GitHub, and MLflow.
Build, enhance, and maintain cross-platform mobile apps for a major financial client using React Native, TypeScript, and React, with a focus on security, performance, and accessibility.
Build and maintain Node.js back-end services for a financial platform, integrating with cloud providers and following security best practices.
Build and maintain Android apps for a major U.S. investment client using Java/Kotlin, Jetpack Compose, and modern testing tools.
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