Devops / Platform Engineer - Azure & Aks

Infoser New Technologies; Ciudad Real; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

Infoser New Technologies en La Mancha (España) busca un/a Ingeniero/a DevOps / Platform para un proyecto internacional enfocado en una plataforma en la nube para procesamiento y gestión de datos. Se centra en Azure, Kubernetes y automatización en un entorno cloud-native, junto a equipos de Backend, Data y Platform Engineering.

Te encargarás de desplegar y operar aplicaciones en AKS, construir pipelines CI/CD con GitHub Actions, observar con OpenTelemetry y Azure Monitor, resolver incidencias y

Formación

• Experiencia profesional en Kubernetes / AKS, Azure y Docker.
• Conocimientos de Helm, CI/CD y GitHub Actions para pipelines.
• Capacidad de trabajar en entornos cloud-native y equipos internacionales.
• Buen nivel de inglés, tanto hablado como escrito; mindset proactivo.

Responsabilidades

• Desplegar y operar aplicaciones en AKS y Kubernetes en Azure.
• Construir y mantener pipelines CI/CD con GitHub Actions y Helm.
• Contribuir a la evolución de la plataforma en la nube y a su mantenimiento.
• Integrar servicios de Azure (Blob, Queues, Entra ID, Managed Identity).
• Monitorear y observar con OpenTelemetry y Azure Monitor; resolver incidencias.
• Colaborar con equipos internacionales de Backend, Data y Platform Engineering.

Conocimientos

Kubernetes / AKS

Microsoft Azure

Docker

Helm

CI/CD

GitHub Actions

English proficiency

Proactive mindset

Herramientas

Helmfile

KEDA

OpenTelemetry

Azure Monitor

KQL

Python

Celery

Descripción del empleo

DevOps / Platform Engineer - Azure & AKS Infoser New Technologies La Mancha (comarca), provincia de ciudad real; castilla-la mancha, Spain

Descripción del trabajo

DevOps / Platform Engineer – Azure & Kubernetes (Only Spain)

At Infoser NT, we are looking for a Mid/Senior DevOps / Platform Engineer to join an international technology project focused on the development and evolution of a cloud platform designed for data processing and management.

The role has a strong focus on Azure, Kubernetes, and automation, working in a cloud-native environment alongside Backend, Data, and Platform Engineering teams.

What will you do?

• Deploy and operate applications on Azure Kubernetes Service (AKS).
• Work with Docker, Kubernetes, Helm, and Helmfile.
• Contribute to the evolution and maintenance of the cloud platform.
• Integrate Azure services such as Blob Storage, Queues, Entra ID, and Managed Identity.
• Build and maintain CI/CD pipelines using GitHub Actions.
• Work on observability and monitoring using OpenTelemetry, Azure Monitor, and KQL.
• Investigate and resolve incidents affecting applications and services running on Kubernetes.
• Collaborate closely with international Backend, Data, and Platform Engineering teams.
• Participate in code reviews and work with Git-based development workflows.
• Manage technical tasks and documentation using Jira and Confluence.

What are we looking for?

Professional experience with:

• Kubernetes / AKS
• Microsoft Azure
• Docker
• Helm
• CI/CD
• GitHub Actions
• A good level of English, both spoken and written, as you will work in an international environment.
• A proactive and autonomous mindset, with strong problem-solving skills and the ability to identify and propose improvements.

Experience with Azure services such as Blob Storage, Queues, Entra ID, and Managed Identity will also be highly valued.

We are looking for someone with experience working in cloud-native environments, who is comfortable investigating and solving technical issues and collaborating with different engineering teams.

Nice to have

Experience with any of the following would be a plus:

• Helmfile
• KEDA
• OpenTelemetry
• Azure Monitor
• KQL
• Python for debugging and backend application analysis
• Celery running on Kubernetes

What will you find?

You will join a long-term international technology project, working with modern cloud architectures and a technology stack centered around Azure, Kubernetes, automation, and observability.

You will collaborate with a wide range of technical profiles and contribute directly to the evolution of a cloud platform designed to process and manage large volumes of data.