Join a integral tech leader and work with cloud-native technologies At NTT DATA, we are looking for a Senior Dev Ops Engineer to join an international team working on modern, scalable platforms and cloud-native architectures. You will collaborate with multidisciplinary teams to design, build, and optimize cloud infrastructure, automation processes, and deployment strategies, contributing to reliable, secure, and high-quality software delivery. Design and manage infrastructure as code using Terraform Build, maintain, and optimize CI/CD pipelines in Git Lab Work with AWS cloud environments, including serverless and containerized architectures Collaborate with international teams in English-speaking environments Automate operational processes and improve deployment reliability Contribute to cloud-native architectures and scalable solutions Apply Dev Ops and infrastructure best practices Support monitoring, observability, and operational excellence initiatives Technical requirements Infrastructure & Cloud Have to:



Proficiency in Terraform for Infrastructure as Code (Ia C)Robust experience with AWS serverless and containerized architectures Strong experience working with cloud-native environments Strong Python programming skills Desirable: Experience with monitoring and alerting systems such as Prometheus, Grafana, Alert Manager, Pager Duty, or Dynatrace Understanding of Dev Sec Ops practices Knowledge of observability and infrastructure monitoring strategies Code Management & CI/CDHave to: Good knowledge of Git Lab Experience building and maintaining Git Lab CI/CD pipelines Experience automating deployment and operational workflows Generative AIExperience working with Generative AI technologies and tools, integrating AI capabilities into development workflows or operational processes.
Familiarity with AI-assisted coding environments and developer productivity tools. Experience with Claude Code or similar AI coding assistants is a strong plus.
Several years of experience a

📌 Senior AWS DevOps Engineer (Madrid)
🏢 Ntt Data Europe & Latam
📍 Madrid