Lead the development strategy and manage the Platform team for exaBase Studio, focusing on AI solutions.
About this role
This Platform Engineer role sits within the team developing exaBase Studio, a platform for combining AI models, services, and data to build and deploy AI software. The product is designed to move AI projects beyond proof of concept into systems that can operate in enterprise environments, supporting use cases across multiple industries.
The work covers planning, architecture, and development across the frontend, backend, and cloud infrastructure, along with code reviews and testing to improve product and code quality. The stated stack includes AWS, Azure, GCP, Kubernetes, Go, TypeScript, React, and Vue.js, with platform engineering also involving security and broader system design.
Applicants must have at least two years of architecture and system development experience in platform engineering, SRE, cloud engineering, or a similar role, plus at least two years of development experience using languages such as Go, Python, Ruby, Java, Node.js, or Rust. Kubernetes experience or a strong interest in platform engineering is also required.
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