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CI&T
30 open remote positions
We help large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience, we are 8,000 CI&Ters in over 25 countries, collaborating to build solutions with real impact.
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Open Positions
Oversee the full lifecycle of data products within the Data Core team, from ideation to operation and continuous optimization. Ensure the data infrastructure (Databricks, Unity Catalog, data lake) operates with excellence, reliability, and scalability. Lead and develop a cross-functional team of data engineers, scientists, and analytics experts, balancing long-term vision with hands-on execution.
Databricks
Spark
SQL
Data Engineering
Data Analytics
Design and implement cloud-native solutions in Azure, ensuring scalability and performance. Provide technical guidance to team members and conduct code reviews. Evaluate new technologies and contribute to software development best practices.
Java
Spring Boot
Azure
Microservices
DevOps
Design and develop an enterprise-grade agentic AI platform using Amazon Bedrock AgentCore ecosystem. Implement hybrid knowledge base integration, MCP gateway development, and agentic skill orchestration. Ensure strict tenant isolation, security guardrails, and operational observability for handling 50,000+ daily interactions.
AWS Bedrock
Python
Vector Databases
Analyze, organize, and process large volumes of data to support business and technology decision-making. Develop and maintain data pipelines using Databricks, Python, PySpark, and SQL, ensuring efficiency and quality. Build dashboards, reports, and executive presentations to translate data into actionable insights.
Databricks
Python
PySpark
SQL
Azure
Design and implement scalable cloud infrastructure solutions on AWS with automation and container orchestration. Automate infrastructure provisioning using Terraform and manage Kubernetes clusters via Amazon EKS. Develop CI/CD pipelines, monitor performance, apply security best practices, and document architecture for compliance.
AWS
Kubernetes
Terraform
CI/CD
Infrastructure As Code
Translate product stories into layered test strategies including unit, API-contract, integration, E2E, and exploratory testing. Design, execute, and maintain automated E2E flows for React/Vite web apps using Playwright (TypeScript). Validate multi-tenant isolation, RBAC, and OIDC/OAuth2 flows to ensure tenant data integrity and security.
Playwright
Python
SQL
API Testing
TypeScript
Design and implement responsive user interfaces using Jetpack Compose and Kotlin. Own the full development lifecycle from architecture to deployment, including testing and documentation. Optimize application performance and accessibility while troubleshooting critical issues.
Kotlin
Jetpack Compose
GraphQL
CI/CD
Design and maintain enterprise applications using Java 17+ and Spring Boot in a microservices architecture. Develop and enhance high-performance solutions with automated testing and code reviews. Integrate systems using cloud and on-premise applications, including message brokers like Kafka or RabbitMQ.
Spring Boot
AWS
Microservices
Automated Testing
Develop integrations for a SuperApp redesign using AI agents, ensuring high-quality delivery. Guarantee code quality through unit tests, code reviews, and adherence to Spec-Driven Development. Participate in agile rituals, deployment processes, and collaborate with multidisciplinary teams.
Java
Artificial Intelligence
AWS
Microservices
DevOps
Design and maintain CI/CD pipelines using Tekton, Github Actions, and Terraform. Collaborate with development teams and migrate to Google Cloud Platform (GCP). Implement observability and monitoring strategies for platform stability.
Bash
Terraform
Kubernetes
Docker
GCP
Lead product strategy for a high-visibility automotive tech partnership, bridging global business goals with technical execution. Own end-to-end discovery and delivery of platform features, including DMS integrations and API ecosystems. Collaborate with engineering and stakeholders to drive data-informed decisions and stakeholder influence.
Product Management
Agile Methodologies
API Integration
Data Analysis
Communication
Collaborate with business partners to identify and articulate needs for DXP and digital marketing in healthcare technology. Communicate effectively in business terms to bridge technical and non-technical stakeholders for alignment. Support development and enhancement of DXP and digital marketing products tailored to healthcare technology.
Digital Marketing
Agile
Communication
Documentation
Design, build, and maintain back-end services using C#, ADO.NET, and SQL Server. Implement and evolve SOAP and REST APIs, ensuring best practices and versioning standards. Collaborate on system integration, conduct code reviews, and mentor junior team members.
C#
SQL Server
SOAP
REST
Lead the strategy and evolution of the global Martech and Digital Experience portfolio. Structure GTM plans, product positioning, and sales enablement materials. Investigate CMO, CDO, and CTO pain points to influence the service roadmap.
Product Marketing
B2B Marketing
MarTech
Salesforce
Storytelling
Act as bridge between business and technology, translating complex requirements into robust technical solutions. Own the complete lifecycle of data products from ingestion through modeling, validation, and delivery. Implement rigorous data validation processes and ensure data accuracy and integrity for AI and analytics.
SQL
Python
BigQuery
Data Modeling
Data Engineering
Design, build, and manage cloud data infrastructure on GCP using Terraform with a focus on automation and IaC best practices. Take ownership of platform stability, performance, and quality through robust monitoring, alerting, and logging. Collaborate closely with data and analytics engineers to support their needs and streamline deployment processes.
GCP
Terraform
Data Infrastructure
BigQuery
Perform exploratory data analysis to identify trends, patterns, and opportunities. Develop and maintain interactive dashboards and reports, primarily using Power BI. Ensure data quality through validation, cleansing, and integrity checks.
SQL
Python
Power BI
Data Visualization
Data Modeling
Design, develop, and sustain complex applications with frontend in React + Next.js (TypeScript) and backend in Node.js + Express (TypeScript). Build modern distributed applications with microservices and event-driven architecture using tools like Kafka. Drive technical decisions, manage technical debt, ensure quality through DevSecOps and automated testing, and optimize performance and scalability.
TypeScript
Node.js
React
Next.js
AWS
Develop and evolve AI agents for voice and chat customer service channels. Design and implement conversational flows using Large Language Models (LLMs). Integrate AI solutions with corporate platforms and legacy systems via APIs.
Python
LLMs
LangChain
Prompt Engineering
REST APIs
Design and oversee distributed systems architectures focusing on resilience, low latency, and global scalability. Act as strategic bridge between client demands and technical feasibility, translating vague requirements into deliverable roadmaps. Implement and optimize CI/CD pipelines and infrastructure automation for agility and security.
Python
Java
Django
Spring Boot
Microservices
Design and maintain interactive dashboards and analytical models using Power BI and Tableau. Write and optimize complex SQL queries and use Python for automation and data processing. Partner with global stakeholders to drive data-driven decision-making in an Agile environment.
SQL
Python
Power BI
Tableau
Data Modeling
Plan, develop, and execute internal and external communication content aligned with brand strategy and voice. Produce high-quality texts for various formats including articles, social media, scripts, institutional communications, and thought leadership. Utilize generative AI tools for ideation, writing, revision, and optimization of content while ensuring accuracy and brand alignment.
Content Strategy
Copywriting
Generative AI
Cross-functional Collaboration
Develop, test and implement software solutions in Python and Java. Collaborate with cross-functional teams to define, design, and deliver new features. Maintain and improve performance of existing applications and conduct code reviews.
Python
Java
Django
Flask
RESTful APIs
Advise client leadership on aligning data platform initiatives with business objectives and delivering measurable value. Design and implement cloud-native data architectures on AWS with a focus on AI/ML readiness and modernization. Lead and mentor cross-functional teams in scaling data platforms, implementing governance, and adopting innovative AI solutions.
AWS
Data Architecture
AI/ML
Data Modeling
Act as a trusted technical advisor bridging business strategy and cloud architecture for global clients. Design and implement AWS-based data lake architectures using Medallion patterns for scalable platforms. Drive AI/ML-ready platform design with MLOps capabilities and agentic AI integration.
AWS
Data Architecture
AI/ML
Data Engineering
Act as a technical advisor for Databricks integration with data privacy and governance tools to ensure LGPD compliance. Guide data discovery, classification, and scanning processes across the Data Lake. Collaborate with cross-functional teams to design secure, scalable, and compliant data solutions.
Databricks
SQL
Apache Spark
Data Modeling
CI/CD
Guide engineering team, driving technical vision, architecture, and delivery of complex back-end software solutions. Oversee API governance, system integration, and DevOps strategy to ensure high performance and scalability. Mentor engineers, conduct code reviews, and foster a culture of engineering excellence and continuous learning.
C#
.NET
SQL Server
SOAP
REST
Lead and support Data Engineering teams, driving technical excellence and mentoring engineers in scalable data solutions. Design and oversee data solutions using Databricks, Apache Spark, and cloud platforms like AWS, Azure, or GCP. Collaborate with clients and stakeholders to define technical strategies and ensure high-quality, business-driven outcomes.
Data Engineering
Databricks
Apache Spark
Python
Cloud Platforms
Lead design and development of scalable cloud-based solutions using Java 17+, Spring Boot, and AWS. Structure technical refinements and build RESTful APIs in a microservices architecture. Integrate systems with message brokers like Kafka or RabbitMQ and ensure quality via automated tests and code reviews.
Spring Boot
Microservices
AWS
Automated Testing
Lead the design and delivery of scalable Generative AI solutions, acting as a technical reference and defining architecture standards. Build AI agents, multi-agent workflows, and integrate LLMs with APIs, ensuring security and compliance with regulations like HIPAA. Drive POC lifecycle management, quality testing for non-deterministic flows, and mentor mid-level and junior engineers.
Python
JavaScript
React
AWS
Generative AI