Teams at aion

Build and maintain core platform services for AION's Compute and Inference platforms. Implement multi-cloud orchestration, resource scheduling, model deployment pipelines, autoscaling, and observability. Develop REST/gRPC services, design DB schemas, integrate message queues and storage, write tests, participate in code reviews, and support production debugging and incident response.

Design, build, and operate Aion's virtualization platform for AI workloads across cloud, hybrid, and on-prem environments. Architect secure, high-performance virtualization infrastructure, implement compute/resource scheduling (CPU, memory, storage, GPU), optimize performance and scaling, automate provisioning and lifecycle management, ensure multi-tenant security and enterprise compliance, and build observability for infrastructure reliability while collaborating with platform and customer teams.

Design and build a scalable orchestration platform and execution engine for enterprise AI workflows. Implement distributed, event-driven systems across Kubernetes, containers, serverless and cloud infrastructure, ensuring reliability, scheduling, retries, observability, and developer-facing APIs/SDKs. Integrate with model serving, data stores, messaging systems, and enterprise services while driving platform reliability and engineering best practices.