Cloud Engineer

• Define and maintain data architecture guidelines: Ingestion, transformation, storage, consumption, and governance patterns.
• Provide strong, independent judgment in design reviews and architecture decisions across the client's data ecosystem.
• Deliberately manage technical debt and uphold high standards for data testing, observability, and CI/CD pipelines.
• Act as the trusted technical liaison: Translate business needs into technical solutions, and technical decisions into executive-level language.
• Identify opportunities to evolve the scope of our services and shape them into technical-commercial proposals.

Cloud Data Architect designing large-scale data platforms for a banking project

Cloud Data Architect – DBT

Cloud Data Architect at Muttdata designing large-scale data platforms for a banking project using Big Data and Machine Learning technologies.

• Design, build, and optimize data workflows for Machine Learning and GenAI solutions in cloud environments.
• Develop and deploy Machine Learning and Generative AI (GenAI) models using AWS SageMaker.
• Create and manage data and model pipelines to improve the efficiency of AI and machine learning systems.
• Prepare and structure data for advanced AI and GenAI solutions.
• Ensure seamless integration of data and AI solutions within cloud architectures, including data security and governance aspects.
• Document and rigorously test models and workflows to meet accuracy and performance requirements.
• Monitor and enhance the performance of Machine Learning models and services in production.
• Manage Data Lake architectures, tailoring data to the needs of Machine Learning and GenAI workloads.

AI & Machine Learning Engineer developing AI solutions in cloud environments for Netrix Global

AI & Machine Learning Engineer, AWS Cloud

AI & Machine Learning Engineer developing AI and Machine Learning solutions using AWS for Netrix Global. Ensuring integration of data and AI solutions while collaborating within the Data Intelligence team.

• Participar activamente en el diseño, implementación y operación de soluciones cloud sobre AWS
• Construir y mantener entornos seguros, escalables y automatizados mediante infraestructura como código
• Colaborar estrechamente con arquitectos, desarrolladores y equipos multidisciplinarios
• Diseñar, implementar y mantener infraestructura en AWS utilizando servicios como EC2, VPC, S3, IAM, RDS, CloudWatch, ELB y Auto Scaling
• Participar en proyectos de migración cloud para clientes enterprise
• Desarrollar y administrar infraestructura como código (Terraform y/o AWS CloudFormation) promoviendo entornos reproducibles y controlados
• Implementar y mantener pipelines CI/CD utilizando herramientas como GitHub Actions, AWS CodePipeline o Jenkins
• Administrar y desplegar soluciones basadas en contenedores utilizando Docker y servicios como ECS y/o EKS
• Desarrollar automatizaciones mediante Python y/o Bash

Cloud Engineer designing AWS solutions for enterprise clients

Cloud Engineer designing, implementing, and managing AWS cloud solutions for enterprise clients. Collaborating with teams to ensure reliable and scalable cloud infrastructure in LATAM.

• Diseñar y operar la estrategia de bases de datos productivas, asegurando performance, disponibilidad y escalabilidad.
• Llevar la operación a un modelo cloud-native sobre AWS (EKS, RDS), automatizando lo que hoy es manual.
• Implementar observabilidad, SLOs y prácticas SRE aplicadas a datos.
• Liderar proyectos de evolución del stack: upgrades de motor, migraciones a cloud, optimización de esquemas multi-tenant.
• Definir e implementar estrategias de backup, recovery y disaster recovery.
• Trabajar codo a codo con desarrollo en query design, schema migrations y revisión de cambios antes de que lleguen a producción.
• Automatizar tareas operativas con Bash, Python e infraestructura como código.
• Ser el referente técnico de datos en la empresa: documentar, definir estándares, mentorear.

Data Engineer managing databases in a hybrid environment at SIDOM

Senior Database Engineer, AWS

Data Engineer at SIDOM handling databases in a hybrid environment with cloud-native strategies. Leading database strategy and operational improvement on AWS.

• Diseñar la solución, configuración base necesaria, indicación de consumo para revisión de capacidad y validación integral.
• Elegir y desarrollar Lakehouse o Warehouse.
• Desarrollar los ETLs, realizar pruebas unitarias y revisar integralmente el desarrollo en el repositorio de bases de datos elegido.
• Diseñar, desarrollar y mantener dashboards, e implementar modelos de datos eficientes y escalables.
• Diseñar estratégicamente el modelado de ingesta de información.
• Generar el ciclo de vida completo de las soluciones de BI.
• Diseñar arquitecturas de desarrollo en Power BI.
• Monitorear la evolución de proyectos, detectar desvíos y definir planes de acción.
• Aplicar conocimientos en Microsoft Fabric y continuar desarrollándote en el mundo de la gestión de datos.

Senior Data Engineer leading BI projects and solutions at IT4W

Senior Data Engineer – Microsoft Fabric, Azure

Senior Data Engineer at IT4W leading the development of BI solutions with Microsoft technologies. Collaborating on innovative projects to transform data into tangible business value.

• Manage and support cloud environments across AWS services including EC2, ECS, EKS, ALB, RDS, VPC, VPNs, S3, and CloudFront
• Troubleshoot infrastructure and application incidents across multiple customer environments
• Implement monitoring and alerting to maintain system reliability and availability
• Collaborate with engineering teams on automation initiatives and Infrastructure as Code deployments
• Support containerized and cloud-native workloads
• Assist with performance optimization, cost optimization, and architecture improvements
• Provide technical support and guidance to customers and internal teams
• Participate in operational processes including incident response and on-call rotations

Cloud Engineer managing hybrid AWS environments at CloudHesive

Cloud Engineer managing and supporting hybrid cloud environments across AWS at CloudHesive. Troubleshooting incidents, optimizing performance, and collaborating on automation initiatives.

Cloud Engineer jobs in Argentina

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Cloud Data Architect – DBT

AI & Machine Learning Engineer, AWS Cloud

Cloud Engineer

Senior Database Engineer, AWS

Senior Data Engineer – Microsoft Fabric, Azure

Cloud Engineer