Cloud Engineer

• Diseñar y ejecutar la ingeniería de soporte sobre servicios nativos de nube Oracle (OCI) asegurando la máxima estabilidad y performance de la arquitectura
• Gestionar, documentar y reportar con rigor técnico todas las evidencias y tareas dentro de la herramienta institucional del cliente final
• Colaborar e iterar activamente en marcos ágiles (Scrum) y prácticas DevOps para asegurar despliegues limpios y eficientes
• Asegurar la atención proactiva de requerimientos e incidentes dentro de las ventanas de servicio y guardias asignadas

Cloud Engineer, Oracle

• Lead the design, implementation, operation and maintenance of the Information Security technologies , including of scalable security architectures that enable Edwards to securely adopt solutions including emerging GenAI technologies.
• Provide design and architecture guidance for enterprise level security initiatives, system integration, and tools including into AI security domain.
• Serve as technical lead in design and build of multiple cyber security controls or solutions, processes and functions.
• Design and maintain secure architecture frameworks and patterns for solutions.
• Delivering and collaborating throughout a delivery project life cycle from project management and architecture design to installation, configuration and documentation of security solutions.
• Serve as a business liaison and advisor for one or more business units

Senior Architect, AI – Cloud Security

• Develop and enhance internal business applications using Azure services (e.g., App Service, Azure Functions, Logic Apps, Storage, Azure SQL)
• Implement features, fix defects, and support incremental improvements to existing tools used by internal teams across the organization
• Write clean, maintainable code in one or more modern languages such as C#, JavaScript/TypeScript, or Python for APIs, background services, and simple front-end components
• Integrate applications with internal systems (ERP, CRM, data services, authentication) by consuming and exposing REST APIs and other Azure-native integration patterns
• Ensure high-quality, enterprise-grade development outcomes by tightly integrating work streams and enforcing consistent standards across all internal and external technology partners
• Use Azure DevOps (or similar tools) for Git-based source control, work item tracking, and basic CI/CD pipelines for build and deployment
• Support the monitoring of applications using logs, metrics, and dashboards (e.g., Azure Monitor, Application Insights) to help maintain application health and performance
• Participate in code reviews, unit testing, and troubleshooting to ensure quality, reliability, and maintainability of delivered solutions
• Collaborate with business analysts, process owners, and senior developers to translate business requirements into technical tasks and application features
• Contribute to technical documentation, configuration notes, and simple user guides or runbooks for internal applications
• Follow secure coding practices and company standards for identity, access control, and data protection; support compliance with data privacy and governance policies
• Continuously develop skills in Azure, modern application development, DevOps, and AI/ML integration; share learnings with the broader team

Azure Application Developer

• Understand client requirements and lead the creation of robust data platforms leveraging Data Lakehouse architectures, serving as the primary subject matter expert for the Azure data ecosystem (Microsoft Fabric, Azure SQL, and Power BI).
• Design and implement scalable data models, ETL/ELT pipelines, and analytics layers using modern cloud ecosystems.
• Architect Microsoft Fabric reporting solutions, establishing medallion layering, managing capacity planning, ensuring freshness governance, and configuring CDC/mirroring from Azure SQL into Fabric.
• Enforce strict data-layer segregation ensuring PII is excluded by construction, maintaining multi-tenant isolation within the analytics layer, and strictly adhering to 10+ year regulated data retention policies.
• Lead complex migration efforts off legacy systems (e.g., AirTable, Smartsheet) to Microsoft Fabric, effectively managing mid-program form and rule drift, and establishing reliable, per-client export channels.
• Lead end-to-end analytics projects — from requirement gathering to deployment.
• Mentor junior team members, perform code reviews, and ensure adherence to quality standards.**Work closely with cross-functional teams (engineering, product, business) to align data strategy with business goals.
• Develop and optimize complex SQL queries, Power BI semantic models, dashboards, and reports (transitioning from legacy LookML/BigQuery paradigms).
• Troubleshoot performance bottlenecks, data inconsistencies, and integration challenges.
• Stay up to date with advancements in the analytics and cloud data ecosystem.
• Drive innovation in reporting and analytics capabilities.**Recommend and implement new tools, frameworks, and practices to enhance the data platform.
• Define best practices, coding standards, and governance for analytics projects.
• Monitor data systems performance and implement optimization strategies.
• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
• Build and oversee AI-ready data pipelines, focused on feeding scrubbed, segmented data to assistive AI (embeddings, vector stores, and feature stores) and integrating GenAI into analytics and data products.
• Drive adoption of AI-assisted data engineering across the team: copilots for SQL/transformation/pipeline code, plus automated testing and documentation.
• Define governance and quality standards for data consumed by LLMs and agents.

Lead Data Engineer, Azure

• Design, develop, and maintain high-quality software solutions using modern backend technologies (.NET, Java, or similar)
• Build responsive and efficient front-end applications using modern frameworks (Vue.js, Angular, React, or similar)
• Develop and maintain RESTful APIs and microservices-based architectures
• Act as an active contributor in software development projects , delivering high-quality code and features
• Collaborate with cross-functional teams in a global Agile environment (US, India, Costa Rica)
• Take ownership of assigned features and ensure timely and high-quality delivery
• Optimize database performance and ensure efficient data modeling
• Participate in CI/CD processes and contribute to system automation and quality improvements
• Troubleshoot, debug, and propose effective solutions to technical challenges

Cloud Engineer jobs in Costa Rica

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Cloud Engineer, Oracle

Senior Architect, AI – Cloud Security

Azure Application Developer

Lead Data Engineer, Azure

Full Stack Cloud Developer