GFT Technologies

Sales

• Work on Agent Force solutions focused on Service Cloud.
• Implement Agent Force, create flows, develop integrations with legacy systems (both flow and code), and establish validation rules according to technical and functional requirements.
• Perform unit and integration tests, ensuring delivery quality.
• Ensure version control of deliverables in the client's repository.

Salesforce Analyst Developer III

Backend Engineer

• Development, maintenance, and testing of APIs and microservices architecture with full command of the Golang framework and AWS cloud.
• Proven experience in projects and teams using agile practices.

Golang Developer, AWS – Mid/Senior

Solutions Engineer

• Work on designing system architectures that meet business requirements, ensuring scalability, security and performance;
• Define appropriate technologies, standards and frameworks, including APIs, cloud, microservices and event-driven architectures;
• Promote an engineering culture and the best practices established by the IT & Ops Directorate;
• Act as a bridge between technical and strategic areas, ensuring alignment between business needs and viable technical solutions;
• Lead and disseminate technical knowledge inside and outside the Architecture team;
• Analyze the existing systems ecosystem, identifying opportunities for improvement with a focus on technical and financial efficiency;
• Plan and evolve the technology stack, evaluating new solutions and innovations;
• Create, maintain and evolve technical artifacts such as documentation, services and products, with a focus on automation and efficiency;
• Actively participate in agile ceremonies and interact with multidisciplinary teams.

Solution Architect

DevOps Engineer

• CI/CD pipelines: Diseñar y mantener pipelines en herramientas como Jenkins, GitHub Actions o GitLab CI. Automatizar build, test y deployment. Optimizar tiempos de ejecución y estabilidad.
• Infraestructura como código (IaC): Gestionar infraestructura con Terraform o AWS CloudFormation. Versionar y reproducir entornos.
• Contenedores y orquestación: Uso de Docker para empaquetado. Orquestación con Kubernetes.
• Cloud y plataformas: Trabajo en Amazon Web Services, Microsoft Azure o Google Cloud Platform. Gestión de ambientes (dev, QA, staging, prod).
• Observabilidad y monitoreo: Implementar logs, métricas y alertas. Uso de herramientas como Prometheus, Grafana o Datadog.
• Seguridad (DevSecOps): Integrar escaneo de vulnerabilidades. Gestión de secretos y accesos. Cumplimiento de buenas prácticas.

DevOps – AWS

Data Engineer

• Responsible for designing, developing, and maintaining data engineering solutions, ensuring scalable and reliable data ingestion, processing, and delivery.
• Works on system integrations, especially SAP, and builds pipelines in a Data Lake environment to support analyses and reports in Power BI.
• Configure and manage data extraction from SAP systems using techniques such as CDC (Change Data Capture) and native connectors (ODP, OData, CDS Views).
• Develop, orchestrate, and monitor ingestion and transformation pipelines using Azure Data Factory (ADF).
• Implement data transformation processes using SQL and/or Spark (when applicable to the environment).
• Structure and maintain data in the Data Lake organized into Bronze, Silver, and Gold layers, following Data Lakehouse architecture best practices.
• Ensure data quality, integrity, and consistency throughout the pipeline.
• Prepare reliable and optimized datasets for consumption in Power BI.
• Implement best practices for code and pipeline versioning using GitHub.
• Monitor and optimize the performance of data loads and transformations.
• Document data flows, pipelines, and data architecture.
• Collaborate with BI and business teams to meet analytical requirements.

Senior Data Engineer

• Diseñar, desarrollar y mantener aplicaciones backend y microservicios utilizando Python y FastAPI.
• Participar en el diseño técnico de nuevas funcionalidades y en la evolución de la arquitectura de las aplicaciones.
• Desarrollar código limpio, mantenible y escalable siguiendo principios de Clean Code y buenas prácticas de desarrollo.
• Implementar y optimizar APIs REST de alto rendimiento.
• Desplegar y mantener soluciones en AWS, trabajando con servicios como Lambda, Fargate/AppRunner, DynamoDB y CloudWatch.
• Colaborar en la definición y mejora de procesos de integración y despliegue continuo (CI/CD).
• Garantizar la calidad del software mediante pruebas unitarias, de integración y revisiones de código.
• Trabajar de forma colaborativa con equipos multidisciplinares, participando en decisiones técnicas y promoviendo buenas prácticas de desarrollo.

Senior Python Developer

Analyst

• Develop, implement and maintain automation solutions using RPA platforms.
• Analyze requirements and map processes together with business areas.
• Perform corrective, evolutionary and sustainment maintenance of automations in production environments.
• Prepare and maintain technical documentation, handbooks, test scripts and change logs.
• Create and execute functional and technical test scenarios, ensuring delivery quality.
• Monitor robot execution, identify failures and handle incident resolution.
• Apply development best practices, versioning, code review and RPA governance.
• Integrate automations with APIs, databases and corporate applications.
• Collaborate with multidisciplinary teams to drive continuous improvement of automated processes.

Process Automation Analyst II

Manager

• Dirigir la venta consultiva B2B para transformar grandes cuentas del sector financiero.
• Articular propuestas de alto valor y modelos de negocio.
• Conectar tendencias de la industria con oportunidades concretas.

Cluster Executive Manager

Financial Planning and Analysis

• Modelo Financiero Integral por Escenario
• Análisis Comparativo Financiero
• Roadmap Financiero
• Matriz de Supuestos Financieros
• Análisis de Viabilidad Financiera

Analista Financiero

Full-stack Engineer

• Lead the development and maintenance of RESTful APIs using Node.js and TypeScript;
• Develop and evolve frontend applications using React.js and TypeScript;
• Design microservices architectures and serverless solutions with AWS Lambda;
• Work with asynchronous communication using SNS and SQS;
• Orchestrate events and workflows with AWS EventBridge;
• Discuss and propose architectural solutions using design patterns;
• Serve as a technical reference supporting the Tech Lead and the team;
• Perform code reviews ensuring quality and best practices;
• Refine requirements and epics into clear technical tasks;
• Model and optimize DynamoDB and PostgreSQL databases;
• Develop and maintain testing strategies (unit, integration, and end-to-end);
• Develop reusable components and scalable interfaces;
• Participate in defining frontend architecture;
• Configure and maintain CI/CD pipelines with Jenkins;
• Monitor applications using tools like Datadog;

Fullstack Developer, Node.js, AWS

Business Analyst

• Buscamos una persona que no solo documente requerimientos, sino que ayude a entender el problema, estructurar la solución funcional y conectar a negocio, tecnología y QA.
• Valoramos especialmente experiencia en proyectos de transformación bancaria, modernización de plataformas, integraciones, productos financieros, core bancario o capacidades reutilizables de negocio.

Senior Business Analyst

• Perform back-end development, fulfilling requirements according to client solutions, standards, and best practices.

Node.js Developer

• Desarrollar funcionalidades de extremo a extremo, integrando componentes frontend en Angular y servicios backend en Spring Boot.
• Implementar y consumir APIs REST, asegurando contratos claros entre frontend y backend.
• Participar en el diseño de módulos con lógica tanto en cliente como en servidor.
• Apoyar la integración entre frontend y servicios backend.
• Contribuir al desarrollo de la capa de persistencia utilizando JPA/Hibernate según las necesidades funcionales.
• Mantener la coherencia y consistencia del código en las distintas capas tecnológicas.
• Colaborar en la resolución de incidencias relacionadas con la integración entre frontend y backend.

Desarrollador Fullstack

Cloud Engineer

• Atuar na operação, sustentação e otimização de ambientes Microsoft Azure de alta disponibilidade e escalabilidade;
• Gerenciar serviços de infraestrutura Azure, incluindo máquinas virtuais, redes, storage, balanceadores, Application Gateway e AKS;
• Administrar identidades e acessos com Microsoft Entra ID (Azure AD), incluindo RBAC e políticas de segurança;
• Implementar e gerenciar ambientes Azure Virtual Desktop (AVD), garantindo performance e experiência do usuário;
• Monitorar ambientes utilizando Azure Monitor, Log Analytics, Application Insights e Defender for Cloud;
• Realizar tuning de performance, planejamento de capacidade e otimização de custos;
• Implementar e manter soluções de backup, disaster recovery e continuidade de negócios;
• Garantir conformidade com padrões de segurança, governança e requisitos regulatórios;
• Atuar na resolução de incidentes e troubleshooting em ambientes cloud e híbridos;
• Colaborar com equipes de aplicações, redes, segurança e DevOps em iniciativas de migração e modernização;
• Desenvolver e manter documentação técnica e procedimentos operacionais;
• Automatizar tarefas operacionais utilizando PowerShell, Azure CLI ou Python;
• Participar de gestão de incidentes, análise de causa raiz (RCA) e melhoria contínua;
• Atuar como referência técnica e apoiar o desenvolvimento de profissionais menos experientes;
• Apoiar processos de gestão de mudanças garantindo estabilidade dos ambientes;
• Avaliar novas tecnologias e serviços Azure alinhados aos objetivos do negócio;
• Participar de escalas de suporte e atendimento a incidentes críticos;

• Work with vague or high-level requirements, identifying the real problem and translating it into clear technical solutions;
• Assess risks, analyze trade-offs, define technical approaches, and justify decisions as needed;
• Build, deliver, and maintain solutions in production environments, ensuring stability and scalability;
• Handle production support, including debugging, incident resolution, and performance improvements;
• Develop backend solutions predominantly using Python (60–70%) while contributing to frontend development using React.js (30–40%);
• Integrate AI capabilities into production systems, addressing orchestration, high-demand workloads, and scalability challenges;
• Collaborate with architects, senior engineers, and product/business stakeholders to define and evolve solutions;