Jobs at CI&T

Design, build, and optimize cloud-native ETL/ELT pipelines and data lake architectures using Python/PySpark and SQL on AWS. Implement partitioning, observability, IaC, and governance while collaborating with analysts, data scientists, and infra teams to enable analytics and ensure data quality.

Design, build, and optimize scalable ETL/ELT pipelines and modern Data Lake architectures on AWS. Develop PySpark and Python data workflows, optimize complex SQL, migrate legacy RDBMS workloads, implement partitioning strategies, monitor pipeline health, and support data governance, observability, and metadata management while collaborating with stakeholders and DevOps for IaC and resource provisioning.

Design, build, and maintain scalable back-end services and front-end applications; implement RESTful APIs and microservices; contribute to ETL, data pipelines, and data modeling; optimize performance and security; mentor engineers; promote CI/CD and engineering best practices while collaborating with product and global stakeholders.

Lead presales lifecycle for CDP solutions: run discovery sessions, design solution architectures, deliver tailored demos and POCs, respond to RFPs, and manage multiple presales projects through handover. Collaborate with product, engineering, and sales teams, provide enablement, and maintain CDP technical thought leadership focused on data architecture, identity resolution, and ROI-driven use cases.

Collaborate with design and cross-functional teams to design, build, and maintain iOS and Android applications. Improve app performance, reliability, and responsiveness; identify and fix bugs and bottlenecks; integrate RESTful APIs, push notifications, and AI features; follow full mobile development lifecycle and stay current with mobile development best practices.

Develop and maintain Java-based services and APIs using Spring Boot and AWS. Write high-quality code, create automated tests, perform code reviews, work in agile teams, mentor peers, and communicate in English.

Design, build, and deploy AI agents and generative-AI solutions across the product lifecycle using prompting, RAG, MCP, and agent orchestration. Collaborate with product and engineering teams, prototype solutions, support demos, and communicate technical trade-offs in English.

Develop and maintain native iOS applications for financial products, implement new features with UX/backend teams, follow security and performance best practices, write tests, conduct code reviews, troubleshoot issues, and work closely with distributed teams and client stakeholders.

Design, build, test, and maintain enterprise-scale full-stack applications using React frontend and Java/Spring Boot backend. Implement RESTful APIs and microservices, ensure security (OAuth2/OIDC/JWT), work with MySQL/Hibernate, support production with Kibana/APM, and collaborate in Agile teams. Participate in on-call rotation and troubleshooting.

Lead product and business-analysis work for financial-services products: gather and translate stakeholder requirements into technical tickets, coordinate with engineering and data teams, build dashboards/monitoring (Tableau/PowerBI/Amplitude), and present findings to global stakeholders while following Agile practices.

Lead demand generation and ABM for North American industry verticals: translate business priorities into integrated multi-channel campaigns, drive pipeline and revenue, align with sales, measure MQL/SQL/influenced revenue, optimize with data, support events and field marketing, and manage/mentor marketing contributors.

Design and implement scalable, cloud-native Azure solutions (AKS, Service Bus, Event Hubs, Functions) using Java and Spring Boot. Modernize a large messaging platform, perform code reviews, mitigate technical risks, contribute to best practices, and mentor junior developers while supporting DevOps and CI/CD processes.

Design, build, and operate scalable AWS cloud infrastructure using Terraform and Kubernetes (EKS). Automate provisioning, maintain CI/CD pipelines, optimize performance and cost, implement security best practices, troubleshoot production issues, and document architectures while collaborating with cross-functional teams.

Design, build, and maintain scalable cloud infrastructure on AWS using Terraform and EKS. Automate provisioning, manage container orchestration, develop CI/CD pipelines, monitor performance and costs, implement security best practices, troubleshoot production issues, and document architectures and processes while collaborating with cross-functional teams.

Lead end-to-end Android app development using Kotlin and Jetpack Compose. Design responsive, accessible UIs, optimize performance and reliability, own architecture, testing, documentation, CI/CD, and production support while mentoring teams and troubleshooting critical issues.

Design and implement cloud-native Azure solutions (AKS, Service Bus, Event Hubs, Functions, API Management). Build containerized Java/Spring Boot microservices, enforce standards, conduct code reviews, mentor developers, and implement CI/CD, monitoring, and event-driven messaging architectures while mitigating technical risks.

Join the data platform team to build and maintain cloud data infrastructure on GCP using Terraform. Ensure platform reliability, performance, monitoring, cost optimization, and collaborate with data engineers. Proactively identify improvements, security issues, and communicate status to technical and non-technical stakeholders in an international environment.

Lead design and development of scalable cloud-based Java microservices using Spring Boot. Build RESTful APIs, integrate message brokers, manage relational and NoSQL databases, ensure quality via automated tests (TDD), and collaborate with cross-functional teams to deliver high-performance solutions aligned with client needs.

Own end-to-end data products: ingest, model, transform, validate, and deliver datasets for AI and analytics. Translate business needs into technical specifications, build SQL/Python pipelines, ensure data quality and monitoring, collaborate with AI teams, and proactively propose improvements while communicating solutions to stakeholders.

Lead end-to-end development of data products: ingest, model, transform, validate, and deliver datasets for analytics and AI. Translate business requirements, ensure data quality, build scalable pipelines (SQL/Python/BigQuery), enable AI consumption, and communicate solutions to stakeholders while driving proactive improvements.