AI Platform Engineer (AWS | Azure | GCP)

Your Day at a Glance

As an AI Platform Engineer you will design, build and operate enterprise-grade cloud and platform infrastructure across AWS, Azure and GCP. You enable AI & ML workloads, automate DevOps processes and ensure secure, compliant and highly available operations.

How You Will Make an Impact

• Architect scalable, secure and cost-efficient multi-cloud solutions
• Automate CI/CD pipelines, IaC workflows and cloud-native deployments (Terraform, GitHub, GitLab, Azure DevOps, Jenkins)
• Operate Kubernetes environments (EKS, AKS, GKE) incl. RBAC, networking and autoscaling
• Build GPU-based AI/ML infrastructure and model-serving platforms
• Ensure monitoring & observability with Prometheus, Grafana, ELK
• Implement IT compliance, security policies and AI governance
• Document architectures and SOPs and share knowledge in the team

What You Bring

• 5–8 years of experience in cloud infrastructure, platform engineering or DevOps
• Deep expertise in AWS, Azure and GCP as well as multi-cloud architectures
• Strong skills in Terraform, Docker, Kubernetes, Helm and GitOps
• Scripting in Python, Bash, PowerShell
• Experience with observability stacks and security / compliance frameworks
• Fluent English, collaborative mindset and strong customer focus

What We Offer

• Remote work up to 2 days per week
• International, diverse team and innovative projects driving the energy transition
• Medical benefits, vacation, parental leave and continuous learning opportunities