Sovereign AI Platform Engineer T Cloud Public (m/f/d)
T-Systems Iberia2 months ago
Granada, SpainSenior
Responsibilities
- Design and operate Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution.
- 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.
- Manage local registries, package mirrors, secrets, access controls, storage, networking, and observability in isolated environments.
- Optimize GPU, compute, and storage usage for reliable AI workloads while maintaining security and data sovereignty requirements.
Requirements
- 5+ years of experience in platform engineering, DevOps, SRE, or MLOps.
- Strong Kubernetes and Linux expertise.
- Proven experience with AI infrastructure, model serving, private or on-premises deployments, and production operations for LLM workloads.
- Strong hands-on Python skills and experience with Terraform, Ansible, Helm, and GitOps workflows.
- Understanding of networking, storage, access control, monitoring, and operational hardening in high-security environments.
- Ability to work in sovereignty-driven environments requiring auditability, isolation, and controlled data handling.
Benefits
- Hybrid work model with remote and on-site work and flexible working hours.
- Customized training through Coursera, weekly English and German language classes, international mentoring sessions, and Experience Days.
- Flexible compensation plan including health insurance, meal vouchers, childcare, and transport.
- Telemedicine, life and accident insurance, social fund, and access to medical, legal, and wellness services.
- 26+ working days of vacation per year and 100% salary coverage during medical leave.
Tech Stack
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