Revise Group

Account Executive

• Prospectar e abrir novos clientes;
• Administrar carteira de clientes e realizar as vendas;
• Treinar clientes sobre produtos e sistemas;
• Desenvolver campanhas de vendas;
• Analisar dados e reportar aos clientes.

Representante Comercial

Backend Engineer

• API and Microservice Development: Build and maintain robust endpoints using Spring Boot, ensuring business logic is correctly implemented and following RESTful standards.
• Data Modeling and Optimization: Design database tables, create efficient queries, and map entities via JPA/Hibernate to ensure data integrity and performance.
• Troubleshooting Complex Issues: Investigate production bugs, analyze logs, and fix performance bottlenecks or security vulnerabilities.
• Systems Integration: Configure communications between services via HTTP calls (Feign/WebClient) or messaging systems (Kafka/RabbitMQ).
• Participation in Agile Ceremonies: Actively participate in Dailies, Plannings, and Retrospectives, helping estimate task effort and refine technical requirements with the Product Owner.
• Technical Documentation: Maintain up-to-date documentation such as Swagger for APIs and basic architecture diagrams to help other team members understand the system.

Mid-Level Back-End Developer – Java

QA Engineer

• Define the testing strategy: Design the overall testing strategy, determining the right balance between unit tests, API tests and user interface (UI) tests, and ensuring that automation is integrated into the development pipeline (CI/CD).
• Map risks and prioritize efforts: Identify potential software risks and prioritize testing activities in the most critical areas of the system where failures would have the greatest business impact.
• Review requirements and acceptance criteria: Collaborate with Product Owners (POs) and development teams to define clear acceptance criteria and ensure quality requirements are understood by all.
• Monitor quality metrics: Track and report quality metrics regularly, such as test coverage, defects found and resolution, so management can take corrective action.
• Lead and coordinate the team: Supervise the QA team, fostering a collaborative and engaged environment.
• Support technical development: Mentor team members, conduct one-on-one (1:1) meetings, provide feedback and support individual technical growth.
• Promote best practices: Drive a quality-first culture across the organization and encourage adoption of QA and software engineering best practices.

QA Lead

• Develop detailed test plans, defining test scenarios and test cases based on business requirements and acceptance criteria.
• Create, maintain and execute automated test scripts (functional, API and regression) to ensure delivery agility.
• Validate endpoints, contracts and integrations using tools such as Postman, Insomnia or automation frameworks.
• Identify, log and track the lifecycle of bugs, performing triage and prioritization with the development team.
• Actively participate in Dailies, Plannings and Refinements, helping identify risks and ensuring quality is considered from the start.
• Generate quality metrics and execution reports to support decision-making about the release of new features.
• Provide technical support to junior QAs and promote a quality culture within the cross-functional team.

Mid-level QA Analyst

• Atuar no desenvolvimento e evolução de aplicações backend em .NET Core (.NET 6/7+).
• Participar de decisões arquiteturais, definindo padrões técnicos e boas práticas.
• Desenvolver e manter APIs RESTful e/ou gRPC, garantindo segurança, performance e escalabilidade.
• Implementar e evoluir arquiteturas baseadas em microserviços e comunicação event-driven.
• Realizar modelagem e otimização de bancos de dados relacionais.
• Garantir qualidade de código por meio de testes automatizados e code review.
• Atuar na análise e resolução de incidentes em produção (troubleshooting, logs e telemetria).
• Conduzir deploys em ambientes conteinerizados com Docker e pipelines CI/CD.
• Mentorar desenvolvedores e apoiar tecnicamente o time.
• Atuar com foco em requisitos não funcionais: segurança, performance, resiliência e escalabilidade.

Senior Backend Developer, .NET

Infrastructure Engineer

• Administer Linux (Debian, Ubuntu, CentOS) and Windows Server systems in on-premises and cloud environments, ensuring availability, security and performance.
• Manage virtualization environments (KVM, Hyper-V, VMware or Proxmox), performing configuration, maintenance and scaling of resources as required.
• Implement and maintain Docker containers, supporting development teams in creating and sustaining application environments.
• Administer cloud environments in AWS, Azure or Google Cloud Platform, including backup routines, system updates, access control and performance monitoring.
• Configure and use monitoring tools such as CloudWatch, Datadog, Prometheus and Grafana to ensure infrastructure visibility and stability.
• Provide technical support and handle infrastructure and IT tickets for all companies in the group, identifying and resolving incidents promptly.
• Perform preventive and corrective maintenance on hardware, network assets and communication systems to ensure continuous service operation.
• Use remote support tools (AnyDesk, TeamViewer, and others) to address and resolve technical requests.
• Operate collaboration and ticketing tools such as Fortinet, Google Workspace, Microsoft Teams and GLPI, contributing to communication and traceability of actions.
• Support information security initiatives by applying best practices for data protection, access control and basic incident response.
• Prepare and maintain technical documentation and operational procedures, ensuring standardization and knowledge sharing within the team.

Infrastructure Specialist, AWS

• Prospect and acquire new clients
• Manage client portfolio and execute sales
• Train clients on products and systems
• Develop sales campaigns
• Analyze data and report to clients

Sales Representative

Data Engineer

• Construção e manutenção de pipelines (ETL/ELT)
• Coletar dados de diferentes fontes (APIs, bancos relacionais, logs, arquivos, eventos).
• Transformar e padronizar dados (limpeza, deduplicação, enriquecimento, regras de negócio).
• Carregar dados em destinos analíticos (Data Warehouse/Lakehouse/Data Lake).
• Orquestrar rotinas (agendamento, dependências, reprocessamento/backfill).
• Modelagem e disponibilização de dados para análise
• Modelagem dimensional (star schema) e/ou modelos normalizados conforme o caso.
• Criação de camadas (raw/bronze, refined/silver, curated/gold).
• Definição de tabelas, particionamento, índices e estratégias de performance/custo.
• Publicação de datasets “prontos para consumo” por BI, produtos e ciência de dados.
• Garantia de qualidade, confiabilidade e observabilidade
• Testes de dados (validação de schema, null checks, ranges, integridade referencial).
• Monitoramento de pipelines (SLA, latência, volume, falhas, dados atrasados).
• Linhagem (data lineage) e catálogo/documentação de dados.
• Tratamento de incidentes e análise de causa raiz.
• Colaboração com outras áreas
• Trabalhar com analistas de dados, cientistas, engenheiros de software e stakeholders.Traduzir necessidades do negócio em contratos de dados (definições, métricas, SLAs).