• Design and implement APIs and serverless services in Node.js/TypeScript on AWS Lambda. • Define and maintain event-driven architectures for IoT telemetry ingestion. • Optimize Aurora PostgreSQL data models and manage time-series data efficiently. • Implement observability end-to-end with actionable alarms, logs, metrics, and traces. • Ensure security best practices: IAM least-privilege, secrets management, encryption. • Build and maintain CI/CD pipelines with GitHub Actions. • Mentor engineers, elevate coding standards, and drive platform improvements. • Manage operational risks: concurrency, cold starts, service limits, capacity planning.

• Participarás en el diseño e implementación de soluciones avanzadas de IA Generativa dentro del ecosistema Google • Desarrollo de asistentes corporativos basados en IA • Diseño de Gems y agentes personalizados en Gemini Enterprise • Automatización documental y de procesos internos • Integración de Gemini con aplicaciones corporativas mediante APIs • Diseño de arquitecturas sobre Google Cloud Platform • Implementación de soluciones de búsqueda inteligente y gestión del conocimiento • Colaboración con equipos técnicos y de negocio para transformar necesidades funcionales en soluciones innovadoras

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS. • Modernize legacy data platforms by migrating Apache Airflow/MWAA workloads to AWS-native orchestration services. • Migrate and optimize Amazon EMR workloads to AWS Glue. • Design and implement scalable data lake and data warehouse solutions using AWS services. • Develop robust data models, semantic layers, and standardized KPI definitions to support business analytics. • Build and maintain data quality, validation, anomaly detection, and monitoring frameworks. • Implement metadata management, data lineage, and data governance best practices. • Develop automated deployment pipelines and infrastructure using Infrastructure as Code (IaC). • Optimize data pipelines for performance, scalability, reliability, and cost efficiency. • Collaborate with business stakeholders to understand reporting requirements and translate them into scalable data solutions. • Support QuickSight semantic datasets, dashboard optimization, and Power BI migration initiatives. • Participate in UAT, production deployments, knowledge transfer, and post-production support.

• Own the vision, roadmap, and priorities for k0rdent AI networking, defining how customers design, automate, and operate every aspect of their network, including underlay fabric management, tenant connectivity, RDMA, DNS/IPAM, and more • Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction • Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable networking capabilities • Manage the networking backlog, using feedback from production deployments and design partners to refine roadmap priorities and positioning • Define positioning, packaging, and competitive differentiation for k0rdent AI networking • Create field-facing assets, including technical briefs, battlecards, and reference architectures; support strategic accounts as the networking product lead • Represent Mirantis at events, analyst briefings, and customer advisory boards; engage silicon, fabric, and ecosystem partners on reference architecture alignment