AI Platform Engineer

About the role

As part of this team, you will contribute to shaping the global energy transition, partner with internal and external stakeholders, and conduct business responsibly while adhering to legal and regulatory requirements. Who is Siemens Energy? The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

What you'll do

• Architect, design, and manage scalable, secure, and cost-efficient infrastructure across AWS, Azure, and GCP
• Build, automate, and optimize CI/CD pipelines, Infrastructure-as-Code (IaC) workflows, and cloud-native deployments
• Manage Kubernetes environments including Amazon EKS, Azure AKS, and Google GKE, covering governance, RBAC, networking, and autoscaling
• Perform infrastructure troubleshooting across compute, networking, storage, security, and platform layers
• Implement organization-wide DevOps practices, including observability and monitoring solutions using Prometheus, Grafana, and ELK stacks

What you need

• 5–8 yrs of experience
• Python
• AWS
• Azure
• GCP
• Terraform
• Machine learning
• Any graduate

Good to have

• Kubernetes
• Git
• IAM
• Jenkins
• Docker
• Helm