> Markdown version of [/jobs/ext/1677254-sovereign-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/1677254-sovereign-ai-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sovereign AI Platform Engineer

- **Company:** T-Systems Iberia
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Linux, DevOps, Python (Programming Language), Octopus Deploy, Open Source Technology, Reliability Engineering, Ansible, Webui, AI Infrastructure, Data Processing, Large Language Models, Kubernetes, Machine Learning Operations, Terraform
- **Published:** July 17, 2026
- **Apply:** https://www.jobleads.com/es/job/e10f025eddedce409dd81eef1c483deef

## About the Role

* 5+ years in platform engineering, DevOps, SRE, or MLOps, with strong Kubernetes and Linux expertise.
 * Proven experience with AI infrastructure, model serving, private or on-prem deployments, and production operations for LLM-based workloads.
 * Strong hands-on skills in Python plus automation tooling such as Terraform, Ansible, Helm, and GitOps workflows.
 * Good understanding of networking, storage, access control, monitoring, and operational hardening in high-security environments.
 * Comfortable working in sovereignty-driven environments where auditability, isolation, and controlled data handling are mandatory.

## Description

* Design and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settings
 * Deploy and operate open-source or open-weight model stacks, model gateways, vector databases, and supporting platform components
 * Build reproducible platform automation using Infrastructure as Code and GitOps approaches for stable, auditable delivery
 * Manage local registries, package mirrors, secrets, access controls, storage, networking, and observability in environments with limited or no public cloud dependency.
 * Optimize GPU, compute, and storage usage for reliable AI workloads while maintaining security and data sovereignty requirements

Examples of market tools, models, and platform components expected

 * Inference and local serving stacks such as vLLM, Ollama, llama.cpp, or OpenAI-compatible self-hosted endpoints.
 * Open-source or open-weight models appropriate for sovereign deployment, for example coding-capable and general-purpose families hosted internally through approved serving layers.
 * Platform tooling such as Kubernetes, Helm, Terraform, Ansible, ArgoCD, private registries, Qdrant or similar vector stores, and Open WebUI or comparable internal interfaces.
 * Developer-facing integration options such as VS Code-compatible extensions, Continue-style local model connectors, or editor integrations pointed at internal APIs instead of external SaaS endpoints.
 * Hardware awareness covering GPU-backed nodes, CPU-only fallback options, storage performance, network isolation, and on-prem or dedicated infrastructure patterns.


## Related Videos

- [Building Sovereign AI: Lessons from Deploying Secure RAG Systems using Confidential Computing](https://www.wearedevelopers.com/videos/100108-building-sovereign-ai-lessons-from-deploying-secure-rag-systems-using-confidential-computing)
- [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey)
- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)
- [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker)

## Related Articles

- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)