Jobs / Initiumsoft

DevOps Engineer - Azure & Kubernetes

Initiumsoft · Madrid, MD, Spain
Madrid, MD, SpainExp: 2-3 yrs36,000-38,000 EUR/yearlyOnsite
Remuneration
36.000€–38.000€ gross annually
Location
Madrid, MD, Spain
Visa sponsorship
Not specified

Job summary

Design, standardize, and maintain a corporate catalog of reusable CI/CD pipeline templates using Azure DevOps, YAML, and Kubernetes. The role embeds code quality, SAST, traceability, compliance, and least-privilege controls into deployment workflows, and supports secure promotion of container images between environments. It also documents pipeline parameters for engineering teams and generative AI agents.

Benefits

Professional development plans and technical growth support

Qualifications

  • 2–3 years of professional DevOps or DevSecOps experience in high-demand corporate environments.
  • Advanced Azure DevOps knowledge, including YAML templates, extends, stages, jobs, Variable Groups, Service Connections, and Azure Repos branch policies.
  • Strong Kubernetes orchestration skills and experience creating optimized Docker images.
  • Experience integrating static analysis and code quality tools such as SonarQube or SonarCloud.
  • Experience with corporate container registries such as ACR and automation using Azure CLI.
  • Fluent Spanish for daily work and coordination.
  • Experience or interest in SDLC automation using generative AI agents.
  • Experience with artifact signing and integrity tools such as Notation.
  • Experience with Azure Artifacts and the Azure DevOps REST API for advanced automation.

Responsibilities

  • Design, build, and maintain reusable corporate CI/CD pipeline templates in Azure DevOps using structured YAML and Kubernetes.
  • Integrate code quality, SAST, traceability, and compliance controls throughout the deployment lifecycle.
  • Implement secure environment promotion using pull requests and container image version management.
  • Enforce centralized governance, segregation of duties, and least-privilege access for credentials and secure variables.
  • Document pipeline parameters for engineering teams and generative AI agents.

Skills

AzureAzure DevOpsDockerKubernetesRESTSonarQubeGitHub

Languages

Spanish

Relocation

No