DevOps Engineer - Azure & Kubernetes

• Between 2 and 3 years of professional experience in DevOps or DevSecOps engineering in high-demand corporate environments.
• Advanced mastery of Azure DevOps: Azure Pipelines in YAML (templates, extends, stages, jobs), Variable Groups, Service Connections, and branch policies in Azure Repos.
• Solid knowledge in container orchestration with Kubernetes and the creation of optimized images with Docker.
• Experience integrating static analysis and code quality tools such as SonarQube or SonarCloud.
• Management of corporate container registries (ACR) and automation with Azure CLI.

• You have experience or interest in SDLC models automated with Generative AI agents.
• You have experience in artifact signing and integrity using tools such as Notation.
• You have worked with Azure Artifacts and the Azure DevOps REST API for advanced automation.
• Are passionate about learning, sharing ideas, and growing together with the team.

• Fluent level of Spanish for daily work and coordination.

• Competitive salary range between €36,000 and €38,000 gross per year depending on your level of experience.
• Location in Madrid, integrating into a multidisciplinary team and high-impact projects.
• Technical culture based on excellence, best practices, innovation, and continuous improvement.
• Professional development plans and support for your technical growth.

At Initium, we don't just develop technology: we create an environment where people can grow, add value, and leave their mark.

Apply now and let's talk.

Drive the CI/CD Infrastructure of the Future: DevOps Engineer

At Initium Software, we connect the best technical talent with the most challenging and innovative projects on the market. We are not a traditional consultancy; we are strategic partners who believe in real impact through technology. Your mission will be to design, standardize, and maintain the corporate catalog of CI/CD pipeline templates on Azure DevOps and Kubernetes, laying the operational foundations for an advanced software development cycle that is progressively agentic and assisted by Generative AI.

• Design, build, and maintain the corporate catalog of reusable pipeline templates in Azure DevOps on Kubernetes with a structured YAML focus.
• Incorporate by design code quality controls, SAST security, traceability, and regulatory compliance into every stage of the deployment cycle.
• Implement secure promotion strategies between environments through Pull Requests and container image version management.
• Ensure strict compliance with centralized governance, segregation of duties, and the principle of least privilege regarding credentials and secure variables.
• Document and structure pipeline parameters to be consumed by both engineering teams and Artificial Intelligence agents.