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growing together
DevOps Engineer – Kubernetes, CI/CD, Python
Location
Spain
Posted
49 days ago
Salary
0
Seniority
Mid Level
Job Description
DevOps Engineer – Kubernetes, CI/CD, Python
knowmad mood
• Gestionar entornos productivos basados en Kubernetes, asegurando su estabilidad, escalado y resiliencia. • Implementar pipelines de despliegue y automatización bajo modelos CI/CD y GitOps. • Construir y operar soluciones internas relacionadas con la explotación de datos y la automatización de procesos. • Apoyar en el desarrollo de herramientas y servicios que optimicen el flujo de trabajo del área técnica. • Crear y mantener imágenes Docker, realizando optimización y troubleshooting cuando sea necesario. • Desarrollar scripts (Python preferiblemente) para automatizar tareas, mejorar procesos o integrar servicios. • Integrar sistemas internos mediante APIs, participando en la definición, consumo y operación de servicios. • Contribuir a la implementación y mejora de dashboards y alertas en herramientas como Prometheus, Grafana o ELK. • Coordinarse con equipos de desarrollo, datos y operaciones para impulsar mejoras, resolver incidencias y evolucionar la plataforma. • Participar en iniciativas relacionadas con pipelines de datos, explotación de información y modelos de machine learning.
Job Requirements
- 2–3 años de experiencia técnica en entornos Kubernetes, orientado al despliegue, automatización y operación de plataformas.
- Experiencia trabajando con Kubernetes en entornos productivos, gestionando deployments, escalabilidad y resolución de incidencias.
- Conocimientos en CI/CD, idealmente con enfoque GitOps.
- Experiencia con contenedores Docker y su ciclo de vida.
- Habilidades de scripting, preferiblemente con Python.
- Experiencia trabajando con APIs y servicios, integrando y operando soluciones distribuidas.
- Capacidad para trabajar en equipo, comunicación eficaz y orientación a la mejora continua.
- Experiencia previa en monitorización y observabilidad (Prometheus, Grafana, ELK, etc.).
- Conocimientos o experiencia con Helm u otras herramientas de despliegue.
- Familiaridad con sistemas de colas y scheduling de procesos.
- Haber participado en proyectos de explotación de datos o construcción de pipelines de datos.
- Experiencia en entornos donde se utilicen modelos de machine learning.
- Conocimientos en herramientas de visualización o análisis de datos, como Power BI.
Benefits
- Contrato Indefinido
- 100% REMOTO
- Formación interna y acceso a certificaciones
- Plan de retribución flexible (seguro médico, transporte, tickets guardería, tickets restaurante)
- Embajador de nuestra marca, a través de nuestro plan amigo ¡Recomienda a tus amigos y llévate un extra!
- Eventos, meetups, techdays, charlas...y mucho más!
- 26 días de descanso (22 días vacaciones, 2 días de libre disposición y 24 y 31 diciembre festivos por defecto)
- Horario: 8.30 a 18h ( flexible) L-J y V 8 a 15h e Intensiva de Verano Julio y Agosto de 8 a 15h
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