Application Developer

PostgreSQL, and Terraform. We are open to candidates based in: Valencia, Barcelona, Madrid, Granada, or Málaga 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 What do you have to offer? 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. Must-Have 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 What do we have to offer? ️ Comprehensive training and development programs. ️ Flexible working schedule ️ Private medical insurance 100% covered by SD Worx ️ 25 vacation days ️ 18 hours for personal matters ️ Reduced summer hours: 36 hours instead of 40 per week, for 4 weeks (to be chosen in July or August) ️ Cobee flexible retribution options: meals, transportation, etc. ️ Laptop and equipment provided ️ Workation: possibility to work from abroad (where SD Worx has legal entity, up to 4 weeks per year) ️ Learning opportunities: language courses (as per availability), individual training bonus, an individual development plan, and professional training ️ Career growth: whether you want to become more of an expert in your field or want to expand your knowledge more horizontally, there is always room to grow within SD Worx From many places, we work as one, moving from better to best together. SD Worx embraces diversity in the workplace. Diversity brings inspiration and innovation to our company. We particularly welcome applications from qualified talent, regardless of origin, nationality, gender, skin color, ethnic and social background, religion, age, disability, sexual orientation, or stage of life. Salary range information will be shared with candidates during the initial interaction with the Talent Acquisition team, either by phone or email. All hiring decisions are made based on skills, experience and role-related qualifications.

SD Worx is a leading European provider of Payroll & HR services with global reach. We have offices across Europe and in Mauritius. Our purpose is to bring people solutions to life, enabling organisations of all sizes to turn Human Resources into a source of value for both the business and its people. Our people solutions cover the entire employee journey - from getting people paid to attracting, rewarding and developing talent. About the role: 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