Operationalize an AI-enabled platform in hospital data centers and public AWS, building secure, reliable, and repeatable capabilities across cloud and on-premises environments
Job Summary
Operationalize an AI-enabled platform in hospital data centers and public AWS, building secure, reliable, and repeatable capabilities across cloud and on-premises environments.
Combine Kubernetes platform engineering, infrastructure automation, product onboarding, and event-driven integration, working closely with engineering, operations, and security.
Contribute to Kubernetes Operators in Go, support event-driven solutions built on NATS, and enable GPU-based workloads in virtualized on-premises environments.
Matching Summary
Operationalize an AI-enabled platform in hospital data centers and public AWS, building secure, reliable, and repeatable capabilities across cloud and on-premises environments.
Skills & Requirements
Must-have
Kubernetes platform engineering
Infrastructure automation
Event-driven integration
Go programming language
GitOps practices
Secure-by-default configurations
Nice-to-have
Entrepreneurial, start-up-like environment
Agile development
ChatOps-style collaboration
GPU-based workloads in virtual environments
Key Requirements
08-12 years in software development/engineering
5-8 years in platform, infrastructure, or software engineering
BE, BTech or MTech in Computer Science/Engineering, Information technology or equivalent