Platform Engineer - Deployment Team (AI)

TL;DR

Platform Engineer - Deployment Team (AI): Build and operate infrastructure powering scalable AI platform for geospatial insights across AWS SaaS, enterprise clouds, on-premises K3S clusters, and edge deployments with an accent on multi-environment architectures, developer experience, and defense-grade security. Focus on designing Kubernetes clusters, evolving IaC with Terraform, optimizing CI/CD pipelines, enhancing observability, maintaining security standards, and supporting on-site deployments.

Location: Remote within European hours; Graz-based team with travel to customer sites for on-premises support

Salary: from €60,000 gross per year (overtime possible based on experience, per Austrian legislation)

Company

Scalable AI platform turning satellite/drone imagery into real-time geospatial insights for defense, government, insurance, and enterprises; $35M Series A funded since 2020.

What you will do

• Build/operate Kubernetes clusters on AWS, Azure, GCP, and bare-metal K3S
• Own infrastructure as code with Terraform for multi-environment setups
• Design/improve CI/CD pipelines using Azure DevOps, ArgoCD, Helm
• Enhance observability with Prometheus, Grafana, ELK stack
• Maintain security for defense/government customers and optimize cloud costs
• Travel to customer sites for on-premises deployments and troubleshooting
• Ensure reproducible testing/staging environments matching production

Requirements

• Work within European hours and comfortable traveling to customer sites
• Production experience with Docker, Kubernetes, Terraform
• Strong Linux admin skills for debugging production issues
• Understanding of networking, security, infrastructure fundamentals
• CI/CD pipelines and deployment automation experience
• Scripting in Python/Bash; good team communication

Nice to have

• Multi-environment/multi-tenant deployments
• Regulated environments (government/defense)
• GPU infrastructure/ML scheduling
• K3S/lightweight Kubernetes for edge
• Container security scanning/hardening

Culture & Benefits

• Unique challenges across SaaS, cloud, on-prem, edge
• Strategic impact on defense expansion and customer growth
• Strong technical culture with platform/ML/GIS engineers
• Flexible work-life balance, competitive pay, personalized benefits
• Learning opportunities, mental health programs, healthcare
• Permanent employment (no B2B)