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# Devops Engineer

- **Company:** Allianz Group
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Continuous Integration, DevOps, Github, Python (Programming Language), Key Management, Ansible, Prometheus, Azure Machine Learning, Datadog, Data Logging, Pulumi, Scripting, Cloud Platform System, System Availability, Grafana, Multi-Cloud, Git, Cloudformation, Gitlab-ci, Git Flow, Kubernetes, Machine Learning Operations, Terraform, Devsecops, Docker, Jenkins, Vulnerability Analysis
- **Published:** September 17, 2026
- **Apply:** https://www.buscojobs.com.es/devops-engineer-m-f-d-en-barcelona-ID-372271724

## About the Role

Compensaciones / Beneficios * Design, implement, and maintain CI/CD pipelines for AI and software products * Develop and manage cloud infrastructure with Terraform, Ansible, etc.

 * Operate and optimize AWS/Azure/GCP environments for model training, deployment, and monitoring * Build and manage Docker/Kubernetes workloads and orchestration * Implement end-to-end monitoring, logging, and alerting for platform reliability * Enforce DevSecOps practices and security/regulatory standards * Automate repetitive tasks and participate in on-call rotations with incident response * Maintain technical documentation and runbooks Responsabilidades * Bachelor's or Master's degree in a related field with 5+ years in DevOps/SRE/Platform Engineering * Strong hands-on experience with Jenkins, GitLab CI, GitHub Actions, or Azure DevOps * Proficiency with at least one cloud provider (AWS, Azure, or GCP); multi-cloud is a plus * Expert-level Docker and Kubernetes (Helm, Kustomize) * IaC experience with Terraform, Pulumi, or CloudFormation * Strong scripting skills (Python, Bash) * Experience with observability stacks (Prometheus, Grafana, Datadog, ELK) * Git and branching
strategy (GitFlow, trunk-based) * Familiarity with DevSecOps, secrets management (Vault, AWS Secrets Manager), vulnerability scanning * Excellent communication and collaboration in international teams * Preferred: MLOps platforms (MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML); cloud certifications; experience in regulated financial services; ML knowledge Requisitos principales * hybrid work model with up to 25 days abroad * bonus scheme * pension * employee shares program * lifelong learning and development * flexible working

## Description

Experteer Overview In this role you will design and maintain CI/CD infrastructure, cloud environments, and automation frameworks to support AI-driven product delivery.You will collaborate with AI/ML engineers, data scientists, and product owners to ensure reliable, scalable, and secure deployment.You'll focus on accelerating deployment, improving reliability, and enforcing security standards across platforms.This is a hands-on, cross-functional position that shapes how AI solutions are built and delivered at Allianz AI Factory.Compensaciones / Beneficios * Design, implement, and maintain CI/CD pipelines for AI and software products * Develop and manage cloud infrastructure with Terraform, Ansible, etc.* Operate and optimize AWS/Azure/GCP environments for model training, deployment, and monitoring * Build and manage Docker/Kubernetes workloads and orchestration * Implement end-to-end monitoring, logging, and alerting for platform reliability * Enforce DevSecOps practices and security/regulatory standards * Automate repetitive tasks and participate in on-call rotations with incident response * Maintain technical documentation and runbooks Responsabilidades * Bachelor's or Master's degree in a related field with 5+ years in DevOps/SRE/Platform Engineering * Strong hands-on experience with Jenkins, GitLab CI, GitHub Actions, or Azure DevOps * Proficiency with at least one cloud provider (AWS, Azure, or GCP); multi-cloud is a plus * Expert-level Docker and Kubernetes (Helm, Kustomize) * IaC experience with Terraform, Pulumi, or CloudFormation * Strong scripting skills (Python, Bash) * Experience with observability stacks (Prometheus, Grafana, Datadog, ELK) * Git and branching strategy (GitFlow, trunk-based) * Familiarity with DevSecOps, secrets management (Vault, AWS Secrets Manager), vulnerability scanning * Excellent communication and collaboration in international teams * Preferred: MLOps platforms (MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML); cloud certifications; experience in regulated financial services; ML knowledge Requisitos principales * hybrid work model with up to 25 days abroad * bonus scheme * pension * employee shares program * lifelong learning and development * flexible working


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