Devops Cloud Ai Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Requirements
We are currently looking for an experienced DevOps Cloud AI Engineer to join a cutting-edge Generative AI programme for a leading international client. This is a fully hands-on role where you will take ownership of the DevOps platform supporting a team of around 30 engineers. You will collaborate closely with software engineers, cloud architects, and AI specialists to design, build, and maintain a secure, scalable cloud-native environment. Key responsibilities include: - Managing and improving cloud infrastructure on Microsoft Azure - Working with Azure Kubernetes Service (AKS) and Kubernetes - Building Infrastructure as Code using Terraform - Supporting CI/CD pipelines and DevOps automation - Ensuring reliability, scalability, and security of the platform Nice to have: - Experience with Generative AI / LLMOps - RAG (Retrieval-Augmented Generation) - AI agents Location: Madrid (Hybrid - 2 days onsite per week) Contract: 12 months with strong extension potential If you are passionate about Azure, Kubernetes, and cloud platform engineering and want to be part of an innovative AI programme, we would love to hear from you. J-18808-Ljbffr
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on es.trabajo.orgGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
How to Become an AI Engineer
Dev Digest 121 - AI goes offline
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud
Navigating the AI Shift