• Desarrollo del Core Backend. • Diseñar y construir los servicios backend del MVP (12–16 semanas). • Crear endpoints robustos y escalables para: Captura de transcripciones y metadatos. • Síntesis y clasificación de insights. • Funnel Health (KPIs, aging, actividad, movimientos de etapa). • Sistema de scoring, badges y gamificación. • Gestión de prioridades, 1:1 y rachas semanales. • Biblioteca + RAG básico. • Dashboard de rendimiento. • Integraciones iniciales (CSV/Sheets + HubSpot OAuth). • Integraciones con herramientas externas. • Conexión con APIs de transcripción (Whisper, Zoom, Meet). • Webhooks para Slack. • Integración HubSpot (auth, mapeos, sync incremental). • Preparación de conectores futuros (Salesforce, Pipedrive). • Arquitectura, seguridad y escalabilidad. • Arquitectura multi-tenant. • Capa de permisos RBAC. • Cifrado, retención de datos, logging y observabilidad. • Preparación para analítica de producto y telemetría avanzada. • IA aplicada. • Orquestar el flujo Captura → Síntesis → Loops accionables. • Integración con LLMs para clasificación, TL;DR, bullets accionables, objeciones, sugerencias de tareas. • Trabajo con el equipo. • Participar activamente en los sprints de 12–16 semanas del MVP. • Proponer mejoras técnicas, refactorings y nuevas capacidades. • Trabajar mano a mano con Frontend, PM y UX/UI.

• Write web frontend code in Vue.js JavaScript framework. • Write front-end and back-end unit tests. • Manage the front-end build configuration and the appropriate npm tasks. • Work with Typescript and modern web development. • Write CSS and HTML by using SASS. • Participate in the .NET implementation of a micro-services solution, being able to write backend code in a reliable, scalable, secure and testable way, implementing resilient integrations, satisfying requirements and service level agreements. • Implement validation mechanisms as unit and integration tests for both back-end and front-end code. • Implement OAUTH authentication mechanisms. • Write and maintain technical documentation of the solution implemented. Account for secure coding practices, as well as logging and auditing features. • Communicate in a clean, concise way, not only to peers but to upper layers when needed.

• Develop and maintain Golang-based services and applications • Work on Kubernetes-based cloud solutions, including deployment and scaling • Build and manage CI/CD pipelines using Jenkins, GitHub Actions, or similar tools • Implement and manage cloud infrastructure on AWS, GCP, or Azure • Integrate chatbots and other developer tools into cloud platforms • Monitor and troubleshoot systems using Prometheus, Grafana, and Vault • Collaborate with cross-functional teams to ensure smooth delivery of solutions

About Our Client Servant is partnering with a forward-thinking organization focused on helping teams work smarter, not harder. By combining thoughtful strategy, intuitive tools, and a people-first mindset, enabling organizations to optimize how work gets done—improving efficiency, clarity, and outcomes across the business. With a strong emphasis on collaboration and continuous improvement, our client partners closely with its customers to solve real-world challenges and deliver practical, scalable solutions. The team values curiosity, ownership, and impact, and is committed to building products and experiences that genuinely support the way people work today. As our client continues to grow, they are investing in talented, mission-driven individuals who want to shape the future of work and make a meaningful difference for customers and teammates alike. Role Summary The role of Backend Engineer is foundational to our clients Human-Led AI Orchestration Layer. You will build secure, scalable backend infrastructure and DevOps systems that power authentication, multi-tenant access, Action Points™, Metadata layer and Human-led AI orchestration flows. You are both a backend engineer and an infra-minded builder, capable of delivering fast APIs, secure data boundaries, Azure infrastructure, and Clerk-driven identity across the platform. Everything you build is expected to be revenue-ready. Key Responsibilities Backend Engineering - Build scalable API services. - Integrate Clerk Authentication for identity, RBAC, token validation, and authorization. - Implement core backend for human-led AI workflows. - Support multi-tenant architecture, secure session management, and API hardening. DevOps / Cloud Engineering - Deploy and manage Azure infrastructure (Functions, App Services, AKS, Key Vault). - Build and maintain CI/CD pipelines (GitHub Actions or Azure DevOps). - Implement Infrastructure-as-Code using Terraform or Bicep. - Configure monitoring, logging, observability, and uptime automation. - Optimize cloud cost, performance, and reliability.