Sovereign Ai Platform Engineer T Cloud Public

T-Systems Iberia
Madrid, Spain
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English, German

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Software as a Service Cloud Computing Linux DevOps Python (Programming Language) Octopus Deploy Reliability Engineering Ansible Webui AI Infrastructure
+6 more
Data Processing Large Language Models AI Platforms Kubernetes Machine Learning Operations Terraform

Job description

Full-timeCompany Description T?Systems is part of the Deutsche Telekom Group, with around ** employees worldwide.We create technology with purpose to generate a positive impact on society.We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience.We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits.We are one global team, guided by respect, integrity, and a passion for doing better every day.Job DescriptionMissionDesign, build, and operate a sovereign AI toolchain used in isolated or tightly controlled environments, including model serving, retrieval, orchestration, observability, and secure platform operations for enterprise AI engineering workloadsRole focusThis role centers on open?source or open?weight LLM stacks, air?gapped or isolated deployment models, Kubernetes?based platform engineering, GPU?enabled environments, and auditable AI operations suitable for sovereignty?sensitive programsKey responsibilitiesDesign and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settingsDeploy and operate open?source or open?weight model stacks, model gateways, vector databases, and supporting platform componentsBuild reproducible platform automation using Infrastructure as Code and GitOps approaches for stable, auditable deliveryManage 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 requirementsExamples of market tools, models, and platform components expectedInference 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.Qualifications5+ 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.Additional InformationWhatdoweofferyou?T?Social: socialinitiatives(sports,community,health, …).Hybridworkmodel(remote/on?site).Flexibleworkinghours.Growth&developmentWeeklylanguageclasses(English & German).InternationalMentoringSessions&ExperienceDays.Flexiblecompensationplan (healthinsurance,mealvouchers,childcare,transport).Socialfund.Wellbeing& time off26+workingdaysofvacationperyear.And many more advantages of being part of T-Systems!If you are looking for a new challenge, do not hesitate to send us your CV!Please send CV in English.Join our team!T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.#J-*****-Ljbffr

Requirements

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.

About the company

Company Description T?Systems is part of the Deutsche Telekom Group, with around ** employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience. We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day.

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