7+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
Bachelor’s degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience
Deep cloud infrastructure expertise, with specialist experience in large-scale Kubernetes deployments and containerized environments
Strong hands-on experience with Infrastructure as Code, especially Terraform
Hands-on experience deploying production AI workloads, particularly inference, and architecting or implementing agentic solutions
Proven background in integration architecture, including API design, data pipelines, security, and observability, with experience in Python
Excellent communication skills with the ability to engage technical and non-technical
Experience with HPC environments and large-scale GPU clusters
Hands-on experience across the ML lifecycle, including training, fine-tuning, and RAG
Practical experience building AI agents, particularly with LangChain
Experience with partner technical programs, major cloud or data platforms, or enterprise compliance standards
Deep understanding of advanced Kubernetes infrastructure concepts beyond the abstraction of managed Kubernetes services