Tech Lead
Promtior
Desde 2023, en Promtior impulsamos la adopción de inteligencia artificial generativa dentro de empresas que buscan trabajar de manera más eficiente, ágil y estratégica. Diseñamos y desarrollamos soluciones de IA a medida, acompañando a nuestros clientes desde la detección de oportunidades y el diseño de producto hasta la implementación final. Nuestro foco está en crear tecnología que realmente se use, que mejore procesos y que eleve las capacidades de los equipos.
Creemos en una colaboración natural entre personas y tecnología. Por eso cultivamos una cultura que valora la curiosidad, el aprendizaje continuo y el ownership real sobre lo que construimos. Trabajamos en equipos ágiles, con libertad para proponer y la responsabilidad de entregar soluciones que generen impacto concreto. Si te motiva crear productos basados en IA que transforman cómo operan las organizaciones, Promtior es un lugar donde tus ideas pueden escalar y tu crecimiento se vuelve parte del camino.
Nos encontramos en la búsqueda de un Tech Lead para sumarse al equipazo de Engineering.
¿Cuáles serán los principales desafíos del rol?
Liderar técnicamente al equipo, supervisando el código implementado y asegurando su calidad, mantenibilidad y alineación con buenas prácticas.
Definir lineamientos técnicos de desarrollo, arquitectura y despliegue, garantizando su correcta implementación.
Facilitar revisiones de código y brindar feedback constructivo al equipo.
Acompañar al equipo en la resolución de problemas técnicos complejos y toma de decisiones de arquitectura.
Asegurar la calidad de los entregables en cada proyecto, promoviendo estándares sólidos de desarrollo y testing.
Colaborar en la planificación y estimación de proyectos, asegurando una asignación eficiente de recursos.
Coordinar la comunicación entre el equipo técnico, stakeholders y otras áreas (Producto, QA, etc.).
Monitorear el desempeño del equipo, brindando soporte, seguimiento y orientación continua.
Promover la adopción de nuevas tecnologías, herramientas y mejores prácticas de desarrollo.
Evaluar y seleccionar herramientas que optimicen el flujo de trabajo del equipo.
Identificar riesgos técnicos y proponer soluciones de manera proactiva.
Fomentar un entorno de trabajo colaborativo, alineado y enfocado en resultados.
Impulsar la mejora continua de procesos, prácticas y formas de trabajo.
Asegurar la correcta documentación de decisiones técnicas, procesos y aprendizajes.
Definir y dar seguimiento a métricas de éxito de los proyectos.
Trabajar en conjunto con otros líderes técnicos para alinear estrategias y compartir conocimiento.
Acompañar el crecimiento profesional del equipo mediante mentoría, capacitación y feedback constante.
¿Qué esperamos de vos para este rol?
Experiencia liderando o coordinando equipos de desarrollo (+2 años).
Experiencia sólida en desarrollo de software (+4 años).
Experiencia trabajando con Python, Node.js o lenguajes similares en entornos productivos.
Conocimientos avanzados en desarrollo backend, diseño de APIs y arquitecturas distribuidas.
Experiencia en frameworks y tecnologías modernas (React, Angular u otros).
Experiencia trabajando con servicios cloud (AWS u otros), incluyendo herramientas como Lambda, ECS o similares.
Experiencia con CI/CD, testing automatizado (TDD) y buenas prácticas de despliegue.
Experiencia en metodologías ágiles (Scrum) y trabajo en equipos multidisciplinarios.
Conocimiento en seguridad, manejo de sesiones y buenas prácticas de desarrollo.
Experiencia en integraciones, web services y APIs REST.
Capacidad para analizar problemas complejos y proponer soluciones escalables.
Habilidades de liderazgo, comunicación y trabajo colaborativo.
Capacidad para gestionar prioridades, coordinar equipos y asegurar entregas de calidad.
Se valora
Experiencia en proyectos relacionados con inteligencia artificial.
Experiencia en fintech o plataformas de pago.
Experiencia en herramientas de modelado de procesos, RPA o BPM.
Experiencia con prácticas avanzadas de despliegue (canary releases u otros).
Experiencia en pruebas de calidad (unitarias, performance, carga).
Conocimientos en lenguajes adicionales (Go, Scala, Kotlin, TypeScript u otros).
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