MLOps / DevOps Infrastructure Engineer

Application / Mid-Senior MLOps / DevOps Infrastructure Engineer You will make the research and product stack dependable. Onric needs infrastructure that can run CAD jobs, model jobs, simulation jobs, and data pipelines without turning every experiment into a cost or reliability surprise. What you will do Build infrastructure for model serving, simulation jobs, and secure data storage. Operate LLM and robotics-model deployment pipelines. Implement CI/CD, observability, experiment tracking, and cost controls. Keep CAD, simulation, and model jobs reliable in production. Expected outcomes Keep LLM serving, frontier API routing, CAD jobs, and simulation jobs reliable; build secure data pipelines; support repeatable experiments and model evaluation workflows; reduce infrastructure cost while maintaining performance and uptime. Skills Required Docker, Kubernetes, and CI/CD. GPU serving and inference optimisation. Job queues, observability, and experiment tracking. Cloud infrastructure, secrets management, and security. Cost control and performance monitoring. Data storage, versioning, and model deployment workflows.