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# Application Developer - AI Applications on Azure Kubernetes

- **Company:** SD Worx Group NV
- **Location:** Málaga, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Microsoft Azure, Cloud Computing, Cloud Computing Security, Continuous Integration, DevOps, Python (Programming Language), Key Management, PostgreSQL, Log Analysis, SQL Azure, Prometheus, Azure Machine Learning, Software Deployment, Azure Data Factory, Flask (Web Framework), Grafana, Kubernetes Helm Charts, Backend, Git, Fastapi, Containerization, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Cosmos DB, Azure AKS, Machine Learning Operations, Virtual Agents, Terraform, Devsecops, Api Management, Docker, Key Vault
- **Published:** July 16, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=c0649e3eea47d167

## About the Role

* 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.

## Description

We are seeking an Application Developer experienced in deploying and maintaining AI-driven applications on Azure Kubernetes Service (AKS) with Azure DevOps. The role involves developing, deploying, and supporting cloud-native solutions with an emphasis on automation, infrastructure as code, secure configuration, and integration with Azure data services. The ideal candidate has hands-on experience with Python-based AI applications, containerized deployments, CI/CD pipelines, Kubernetes workloads, and Azure services such as Key Vault, Cosmos DB, PostgreSQL, and Terraform.

Which tasks can you expect?

 * Deploy, and maintain AI-related applications on Azure Kubernetes Service
 * Build and manage CI/CD pipelines using Azure DevOps
 * Containerize applications and manage deployments using Kubernetes manifests, Helm charts, or similar tooling
 * Automate infrastructure provisioning using Terraform
 * Configure secure application access to secrets and certificates using Azure Key Vault
 * Integrate applications with Azure data services such as Cosmos DB and Azure Database for PostgreSQL
 * Support Python-based backend services, APIs, and AI application components
 * Implement deployment strategies such as rolling updates, blue-green deployments, or canary releases
 * Monitor application deployments, troubleshoot runtime issues, and improve deployment reliability
 * Collaborate with AI engineers, DevOps engineers, platform teams, and product teams
 * Ensure applications follow cloud security, scalability, and reliability best practices
 * Maintain documentation for deployment processes, infrastructure, and operational runbooks, * Azure DevOps
 * Azure Kubernetes Service
 * Kubernetes
 * Docker
 * Python
 * Terraform
 * Azure Key Vault
 * Cosmos DB
 * PostgreSQL
 * CI/CD pipelines
 * Application deployment automation
 * Git

Nice-to-Have

 * Helm
 * Azure Container Registry
 * Managed Identity
 * Azure Monitor / Log Analytics
 * Prometheus / Grafana
 * FastAPI or Flask
 * MLflow or model-serving frameworks
 * OpenAI / Azure AI services
 * API management
 * DevSecOps practices


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