Jobs at CI&T

Owns the lifecycle of Finance Analytics data products, translating finance requirements into actionable specifications for data teams. Responsibilities include backlog prioritization, financial business-rule governance, KPI documentation, monthly close coordination, anomaly investigation, incident coordination, stakeholder management, and functional validation. The role requires strong knowledge of financial reporting, P&L structures, reconciliations, data workflows, and basic to intermediate SQL.

Operate and improve monitoring, observability, cloud infrastructure, CI/CD pipelines, and service reliability. Investigate logs, traces, metrics, and incidents; tune alerts; instrument services; define SLIs; write post-incident reviews; maintain runbooks; automate operations; and remediate infrastructure cybersecurity findings in partnership with InfoSec and engineering teams.

Lead the technical vision, architecture, and delivery of complex .NET backend solutions. Guide API governance, system integration, testing, reliability, DevOps, and CI/CD strategy while mentoring engineers and collaborating with multicultural teams. Translate business needs into scalable technical roadmaps and drive architectural excellence across legacy and modern systems.

Design, build, deploy, and maintain AI-enabled applications for digital supply chain operations. Develop user interfaces, APIs, backend services, PostgreSQL databases, SQL queries, ETL/ELT pipelines, and integrations with BigQuery, SAP, and enterprise platforms. Implement LLMs, RAG, AI agents, and predictive models, while deploying containerized applications with Docker. Produce technical documentation and support production operations.

Lead the technical direction of a multidisciplinary data team and define scalable data architectures spanning ingestion, lakehouse design, modeling, governance, and serving. Design pipelines and data products, establish quality and privacy standards, implement CI/CD and DataOps practices, and communicate architectural trade-offs to client stakeholders. The role also involves assessments, knowledge transfer, proofs of concept, and hands-on technical leadership in a nearshore model supporting US business hours.

Lead the technical direction of a multidisciplinary data team and define scalable data architecture across ingestion, lakehouse design, modeling, governance, and serving. Design pipelines and data products, establish quality and privacy standards, apply CI/CD and DataOps practices, and communicate architectural trade-offs to client stakeholders. Conduct data assessments, build proofs of concept, and support modernization and knowledge transfer in a nearshore delivery model.

Lead BI requirements analysis and develop strategic insights using data models, Power BI dashboards, DAX, KPIs, ETL processes, and dynamic row-level security. Translate business needs into technical specifications, improve BI system performance, document data models, and collaborate with data, application, infrastructure, and business stakeholders. The role also involves designing report layouts and may include Databricks architecture, paginated reporting, Git, and CI/CD.

Leads the technical direction and delivery of full-stack applications using TypeScript, Node.js, React, Next.js, and AWS serverless technologies. Designs secure APIs, cloud infrastructure, CI/CD pipelines, testing strategies, and observability practices. Builds and orchestrates AI agents, mentors engineers, manages technical risks, and supports client-facing architecture discussions. The role also contributes to Drupal-based platforms, incident response, release management, and continuous engineering improvement.

Own regional enterprise sales across Australia, identifying prospects, generating leads, managing the full sales cycle, and closing high-value data, cloud, and AI transformation programs. Build strategic partner relationships, develop market presence, engage senior decision-makers, and promote AI-first business strategies. The role targets ASX 200 companies and government sectors while leveraging alliances with AWS, Microsoft, Databricks, and Anthropic.

Develop and maintain scalable backend services and SOAP/REST integrations using C#, .NET, ADO.NET, and SQL Server. Ensure reliability through testing, monitoring, troubleshooting, and root-cause analysis. Conduct code reviews, mentor junior engineers, contribute to CI/CD practices, and collaborate with multicultural teams in English across multiple time zones.

Designs, develops, and executes automated and manual tests for web, mobile, and desktop applications. Performs functional, regression, integration, and performance testing; maintains automation scripts; documents and tracks defects; collaborates with developers and cross-functional teams; and applies software quality best practices throughout the SDLC.

Lead full-stack development using .NET and Angular, review AI-generated code, implement AI-assisted software development workflows, and build scalable REST APIs. Develop responsive interfaces, automated tests, distributed systems, and database solutions. Use Docker, observability tools, messaging platforms, and Azure DevOps practices while applying SOLID, KISS, and design patterns. Collaborate with English-speaking clients and help ensure software quality, maintainability, and scalability.

Designs, delivers, and continuously improves production-grade Generative AI and agentic solutions. Responsibilities include developing RAG systems, AI agents, enterprise integrations, intelligent workflows, evaluation and observability practices, cloud-native services, and reliability controls. The role requires troubleshooting complex production issues, evaluating models and infrastructure trade-offs, collaborating with technical and business stakeholders, and mentoring engineers.

Develop and productionize generative AI and agentic applications, including RAG systems, AI agents, conversational AI, and intelligent workflows. Integrate LLM providers, APIs, databases, cloud services, and enterprise systems. Build evaluation, observability, guardrail, monitoring, testing, and CI/CD capabilities while applying strong software engineering practices. Collaborate with senior engineers, architects, product teams, and international stakeholders to troubleshoot and improve AI solutions.

Own and develop relational database and lakehouse data layers for higher-education applications and analytics. Build optimized SQL schemas, procedures, and models; develop Databricks, PySpark, Spark SQL, and dbt pipelines; implement governance, security, quality checks, and lineage; manage CI/CD database changes; document systems, resolve incidents, collaborate with architects and developers, and mentor mid-level engineers.

Own and develop relational and lakehouse data systems supporting higher-education program, student, and enrollment data. Build Databricks pipelines, dbt models, SQL schemas, stored procedures, and performance optimizations. Implement governance, lineage, quality checks, access controls, CI/CD, and documentation. Collaborate with architects and application developers, resolve incidents, support production systems, and mentor mid-level developers while working with North American and Latin American teams.

Develop scalable applications using C# and .NET Core microservices, design REST APIs, and apply Clean Architecture and SOLID principles. Build resilient systems, create unit, API, and integration tests, and design databases. Deploy cloud-native solutions on Azure and configure Azure DevOps YAML CI/CD pipelines. Solve complex technical problems, optimize systems, and collaborate in an international environment requiring advanced English.

Manage enterprise cybersecurity risks, third-party assessments, control frameworks, risk registries, policies, procedures, and compliance documentation. Identify vulnerabilities and control gaps, coordinate remediation, maintain evidence, align requirements with HITRUST, HIPAA, and Spain ENS, and support internal and external audits. The role requires advanced English and collaboration with technical and non-technical stakeholders in an international environment.

Maintain and modernize .NET applications, upgrade .NET Core versions, mitigate vulnerabilities, develop APIs, manage integrations, and work with Docker, CI/CD, databases, and AWS infrastructure. Collaborate with architects and English-speaking stakeholders, clarify requirements, prioritize work, perform automated testing, mentor junior developers, and improve team productivity through AI. The role also involves maintaining Angular and Vue.js interfaces and evolving Node.js backend components.

Build and maintain AWS-based data pipelines, integrate data from APIs, databases, and files, and ensure data quality, reliability, security, and governance. Collaborate with business and analytics teams, apply DataOps practices including version control, testing, and CI/CD, and document engineering processes. The role requires Python, SQL, AWS data services, distributed processing, ETL/ELT, and advanced English, with on-site work in Campinas five days per week.