Description

As a Platform Engineer, you will be integral to building and maintaining the enterprise AI platform, focusing on automating processes, optimizing performance, and ensuring security across various cloud environments.

Requirements

• •2+ years of hands-on experience with cloud infrastructure and deployments
• •Strong knowledge of containerization with Docker and orchestration with Kubernetes
• •Strong experience with at least one major cloud provider: AWS, GCP, or Azure
• •Infrastructure as Code experience with Terraform or similar tools
• •CI/CD pipeline development with GitHub Actions or similar platforms
• •Command-line proficiency
• •Understanding of networking, security, and monitoring in cloud environments
• •Fluent English and B2 German for technical documentation and customer communication
• •Enterprise deployment experience with security, compliance, and multi-tenancy requirements
• •Experience with Azure Container Apps and Azure-specific services
• •Monitoring and observability tools like Prometheus, Grafana, or Application Insights
• •Database administration experience with PostgreSQL and Redis
• •Experience with secrets management tools like HashiCorp Vault, or cloud-native solutions

Tasks

• •Manage and improve CI/CD pipelines
• •Deploy and maintain the platform in cloud environments
• •Automate infrastructure provisioning with Infrastructure as Code
• •Monitor and optimize application performance
• •Ensure security and compliance in cloud environments
• •Collaborate with Product Engineers on feature deployments
• •Troubleshoot and resolve infrastructure issues
• •Document deployment processes and maintain runbooks

Tools & Technologies

Benefits