• Design scalable and resilient services • Anticipate performance and architectural issues • Reduce technical debt • Raise the technical level of the team • Serve as a technical reference for backend • Have a direct impact on the platform's stability and evolution • Actively participate in architectural decisions • Communicate clearly with technical and non-technical teams • Mentor junior and mid-level developers

• Participar en el desarrollo de una herramienta de AML basada en inteligencia artificial, Big Data y Procesamiento en tiempo real. • Análisis de requerimientos y participación en el diseño de soluciones. • Participación en el desarrollo y mantenimiento de una aplicación cloud innovadora en el área de detección de AML en entornos financieros. • Análisis y mejoras de rendimiento/velocidad del sistema. • Testing para asegurar correcto funcionamiento de los desarrollos. • Elaboración de casos de prueba. • Diagnosis de incidencias y correcciones. • Mejoras y buenas prácticas en el uso de repositorios y herramientas de desarrollo software.

• Full-Spectrum AI Integration: Implement and oversee the "full use of AI" across the SDLC—from architectural design and code generation to debugging and deployment—to maximize team velocity. • Accelerated Delivery: Use AI-driven insights to meet and exceed performance benchmarks, ensuring that technical debt is minimized while output is maximized. • Prompt Engineering & Mentorship: Mentor the team in AI best practices, ensuring AI is used as a core engine for development, not just a complementary tool. • Performance & KPIs: Define and monitor clear KPIs with team members, reporting progress to senior management. • Bi-directional Growth: Conduct monthly 1-on-1s and 6-month formal feedback sessions to support career paths and personal development. • Code Quality: Enforce a strict 97% code coverage ratio and maintain a code churn of 10% or less during the final two days of a sprint. • Stability: Ensure less than 1% of deployed code results in downtime. • Review Process: Lead code reviews focused on performance, standards, and observability. • Documentation: Foster a sharing culture by keeping the wiki updated and sharing monthly technical articles with the team. • Data-Driven Decisions: Use analytical rigor and data to guide the team’s direction. • Autonomy: Provide clear goals in our Agile environment and empower the team to be self-directing. • Risk Mitigation: Act as a "lantern" for the team, identifying and solving problems before they escalate.

• Hire, coach, and develop a team of high-performing Platform Architects • Establish clear role boundaries, career paths, and operating standards • Set expectations for ownership, outcomes, and technical depth • Create a culture of accountability, rigor, and customer trust • Define and evolve Temporal's production readiness framework • Standardize activation, reliability, observability, and operational guardrails • Ensure first workflows reach production faster and more predictably • Reduce escalations to Engineering through prevention, not heroics • Own metrics tied to time-to-production, GRR, NDR, expansion, and health • Forecast capacity and scale the team responsibly with the business • Ensure Platform Architects surface expansion signals tied to real usage • Partner with Growth AEs and Solution Architects to convert readiness into revenue • Act as the executive technical counterpart to Sales, Support, Services, and Product • Collaborate with Product and Engineering to feed back real-world production patterns • Shape customer lifecycle programs and executive-facing engagements (QBRs, EBRs) • Serve as executive sponsor for key strategic accounts • Innovate on programs like Production Readiness Partnership • Influence training, certification, and partner enablement strategies • Ensure the Platform Architect role continues to scale without dilution • Build a function that becomes an industry benchmark.