Job Description
At IT Labs , we are looking for a hands-on Deployment Engineer to support one of the most exciting companies in the AI and engineering space. Our client is building a next-generation platform that combines AI, simulation, and high-performance computing to help engineers design everything from aircraft and cars to semiconductors and energy systems faster and more intelligently. Instead of relying only on physical prototypes and long testing cycles, their technology allows customers to simulate and optimize complex products in software using AI-powered digital models. The company was founded by leaders from Formula 1 and advanced AI, has raised significant funding, and works with some of the world’s most innovative organizations in Aerospace, Automotive, Energy, Manufacturing, and Semiconductors. In this role, you will work directly with customer engineering teams to deploy and support Kubernetes-based environments across AWS, Azure, and on-premise infrastructure. This is a highly technical, customer-facing role focused on troubleshooting, deployment, and solving complex infrastructure challenges. The role is best suited for someone who enjoys working in fast-moving environments, learning quickly, and taking ownership with limited onboarding. What You’ll Do Work directly with customers to understand their infrastructure, Kubernetes, networking, and security setup Lead technical discovery and deployment-readiness discussions Deploy and troubleshoot solutions in: AWS EKS Azure AKS On-prem Kubernetes environments OpenShift, Rancher, or vanilla Kubernetes Use Terraform, Helm, and Kubernetes operators to install and configure the platform Troubleshoot issues such as: Pods stuck in Pending / CrashLoopBackOff Firewall and networking issues Failed image pulls Resource and scaling limitations Cluster configuration problems Support deployments in restricted and air-gapped environments Work with product and platform teams to report issues, create workarounds, and improve the pro
