Space AI Infra Engineer: GPU, Kubernetes & Secure CI/CD

Starion; Frascati; Remote; EUR 40,000 - 50,000; Full time

Job summary

Starion invites an AI Infrastructure Engineer to join the ESA Frascati team onsite in Italy, helping design and operate secure, scalable AI infrastructure. You will work with Azure, on-premises environments, and NVIDIA GPU platforms to deliver enterprise-grade AI services and MLOps capabilities.

You will build GPU-powered environments, maintain Linux-based systems, and manage IaC and CI/CD pipelines, ensuring performance, reliability, and security across the platform.

Qualifications

• University Degree or equivalent in a relevant field.
• At least 3 years of experience in this field.
• Strong experience designing, deploying, and supporting Microsoft Azure infrastructure, networking, and cloud-native services within complex enterprise environments.
• Hands-on expertise with GPU-enabled platforms, including NVIDIA technologies, AI workloads, and the deployment of high-performance computing solutions.
• Advanced Linux administration skills, with proven experience managing, troubleshooting, and optimising Docker-based and Kubernetes-driven production environments.
• Experience deploying and operating large language models (LLMs) using technologies such as vLLM , Hugging Face TGI, Ollama, or similar frameworks, together with knowledge of vector databases and AI-powered search solutions.
• Proficiency with Infrastructure as Code and automation tools, such as Terraform, Bicep, or Ansible, alongside experience developing CI/CD pipelines using Azure DevOps.
• A strong understanding of security best practices, including identity and access management, secrets management, infrastructure hardening, monitoring, logging, backup, and disaster recovery strategies.
• Fluency in English, both written and spoken.

Responsibilities

• Design, deploy, and operate secure, scalable AI infrastructure across Azure and on-premises environments, supporting AI services and MLOps capabilities.
• Build, optimise, and maintain GPU-powered platforms for AI workloads and LLM deployment with secure APIs.
• Administer and enhance Linux-based environments, Docker containers, Kubernetes clusters, vector databases, and AI search services.
• Develop and maintain Infrastructure as Code (IaC) solutions and automated CI/CD pipelines using Azure DevOps.
• Monitor platform performance, security, availability, and cost efficiency, troubleshooting infra, networking, storage, and GPU-related challenges.
• Implement and manage backup, disaster recovery, patching, and security controls, with clear technical documentation.

Skills

Azure infra design

GPU/AI workloads

Linux administration

Docker/Kubernetes

CI/CD (Azure DevOps)

IaC (Terraform/Bicep/Ansible)

Security best practices

English fluency

Education

University Degree or equivalent

Tools

Azure

Docker

Kubernetes

NVIDIA GPUs

Azure DevOps

Terraform

Bicep

Ansible

Job description

Starion invites an AI Infrastructure Engineer to join the ESA Frascati team onsite in Italy, helping design and operate secure, scalable AI infrastructure. You will work with Azure, on-premises environments, and NVIDIA GPU platforms to deliver enterprise-grade AI services and MLOps capabilities.

You will build GPU-powered environments, maintain Linux-based systems, and manage IaC and CI/CD pipelines, ensuring performance, reliability, and security across the platform.