• Design and implement features, bug fixes, and infrastructure automation for the GCP HCP platform using Go and Kubernetes • Work within an agent-augmented development workflow: decompose work into well-specified tasks, guide AI agents through implementation, and rigorously review agent-generated code and tests • Write and maintain custom linters, structural tests, and CI gate checks that enforce architectural boundaries and prevent drift — for both human and agent contributors • Contribute to the team's structured documentation system (design documents, architecture decision records, AGENTS.md context files) that serves as the source of truth for AI agents and humans alike • Build and maintain the observability, deployment pipelines, and automation that support multi-region managed OpenShift clusters on GCP • Participate in peer code reviews with a focus on correctness, security, and adherence to established architectural constraints • Own test strategy for the features you deliver — design test plans, write unit and integration tests, and ensure end-to-end coverage across the platform's multi-region architecture • Troubleshoot complex issues across distributed systems spanning GKE host clusters, HyperShift control planes, and customer workloads • Participate in on-call rotations to support production managed services • Mentor peers and contribute to a culture of continuous improvement in both technical craft and agent-augmented workflows.

• Design, develop, test, and optimize software for our next-generation SoCs • Review architectural performance bottlenecks for various system wide work loads • Identify HW/SW policies to drive performance and performance/watt leadership • Build and drive architecture, analysis documents and communications to internal and/or external audiences about our technology • Competitive analysis comparing uArchitecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors • Influence and drive full-stack adoption of performance optimizations and standard methodologies across NVIDIA SW products & OSS SDKs

• Analyze business requirements and design scalable Salesforce solutions. • Configure and integrate Salesforce Service Cloud with Amazon Connect and AWS. • Design and develop Salesforce applications using Apex, Visualforce, and LWC. • Develop backend APIs and system integrations using Salesforce services, Node.js, and AWS technologies. • Implement CI/CD pipelines using Salesforce DX, GitHub Actions, and Jenkins. • Participate in Agile development to plan sprints and deploy features.

• Industrializar el PoC existente y transformarlo en una aplicación enterprise-ready con persistencia, seguridad y trazabilidad completa. • Implementar flujos complejos de aprobación multinivel con distintos roles y permisos por usuario. • Diseñar y administrar bases de datos relacionales con historial de estados y auditoría inmutable. • Implementar procesamiento de archivos Excel incluyendo validaciones registro por registro y generación de reportes de errores descriptivos. • Integrar la plataforma con APIs REST internas y fuentes corporativas como SAP y Qlik. • Participar en decisiones de arquitectura y proponer un stack tecnológico adecuado para un entorno corporativo con información sensible. • Diseñar una solución escalable y flexible que permita incorporar nuevos tipos de inversión y reglas de negocio en el futuro. • Garantizar autenticación empresarial mediante SSO / OAuth 2.0, probablemente integrada con Azure Active Directory. • Trabajar de manera cercana con stakeholders funcionales y técnicos para validar la correcta implementación de la lógica de negocio.