Azure & Kubernetes AI Apps Engineer

SD Worx Spain; Madrid; Presencial; EUR 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Training programs

Private medical insurance

Personal time off

Reduced summer hours

Cobee benefits

Laptop provided

Workation

Language courses

Development plan

Career growth

Descripción de la vacante

SD Worx Spain seeks an Application Developer to deploy and maintain AI-driven apps on Azure Kubernetes Service. You will build CI/CD pipelines with Azure DevOps, containerize workloads, and manage deployments using Kubernetes manifests or Helm charts.

The role emphasizes automation, infrastructure as code, and secure configuration. You will collaborate with AI engineers, platform teams, and product teams to ensure scalable, secure, and reliable cloud solutions, integrating with Azure data

Formación

• Degree in IT/IT related fields or equal by experience.
• 3-5 years of experience in the field.
• Excellent analytical, communication and problem‑solving skills.
• Experience in working in Agile squads. Working in international environment is considered as a plus.

Responsabilidades

• Deploy and maintain AI-driven applications on Azure Kubernetes Service (AKS).
• Build and manage CI/CD pipelines using Azure DevOps.
• Containerize applications and manage deployments using Kubernetes manifests or Helm charts.
• Configure secure access to secrets and certificates using Azure Key Vault.
• Integrate applications with Azure data services such as Cosmos DB and PostgreSQL.
• Collaborate with AI and DevOps teams to ensure cloud-native deployments.

Conocimientos

Analytical thinking

Communication

Problem solving

Agile experience

Educación

Degree in IT/IT related fields or equal by experience

Herramientas

Docker

Python

Terraform

Git

Descripción del empleo

SD Worx Spain seeks an Application Developer to deploy and maintain AI-driven apps on Azure Kubernetes Service. You will build CI/CD pipelines with Azure DevOps, containerize workloads, and manage deployments using Kubernetes manifests or Helm charts.

The role emphasizes automation, infrastructure as code, and secure configuration. You will collaborate with AI engineers, platform teams, and product teams to ensure scalable, secure, and reliable cloud solutions, integrating with Azure data