• Own cloud security posture and runtime protection across AWS, Azure, and GCP using Wiz and modern runtime protection tooling — from finding misconfigurations to driving them to closure and catching threats at runtime. • Define and maintain secure configuration baselines and guardrails so new cloud resources are safe by default • Partner with SecOps to feed high-quality cloud signals into our detection and response pipeline • Design and implement network segmentation and east-west controls that limit blast radius across our environments • Advance Zero Trust network access using Cloudflare Access, private connectivity, and service-to-service authentication (including mTLS where it fits) • Align our network posture to NIST SP 800-207 and the CISA Zero Trust Maturity Model (Networks pillar) • Own the security configuration of our Cloudflare edge — WAF, Bot Management, and DDoS protections — plus our broader Cloudflare Zero Trust deployment • Build policy-as-code and Terraform guardrails, and embed infrastructure-as-code security scanning (Wiz Code) into CI/CD pipelines — you own the infrastructure-scanning side of the pipeline • Act as the design authority for cloud, network, and edge security — setting standards, mentoring security and platform engineers, and driving alignment across teams you don't manage.

• 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.