Lead the development strategy and manage the Platform team for exaBase Studio, focusing on AI solutions.
About this role
Within the AI Platform business, this Cloud Engineer supports enterprise AI solution delivery and leads infrastructure work across projects. The role collaborates with AI consultants, AI engineers, software engineers, and FDEs to turn strict security, availability, resilience, and governance requirements into dependable customer systems.
It defines requirements and designs, builds, operates, and standardizes secure infrastructure across AWS, Google Cloud, and Azure. The work includes reusable multi-cloud configurations with Terraform, Docker, and Kubernetes, CI/CD and test automation for application and model delivery, access control, and data pipelines using BigQuery and Snowflake. It may also establish LLM evaluation and observability foundations.
Applicants must have experience designing, building, and operating infrastructure on at least one public cloud provider, experience building or operating systems with container technologies such as Docker, and practical experience introducing or operating CI/CD tools or establishing a DevOps environment.
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