Play a key role in making AI solutions secure, scalable, and production-ready by building and managing cloud-native environments and automation pipelines
Job Summary
Play a key role in making AI solutions secure, scalable, and production-ready by building and managing cloud-native environments and automation pipelines.
Collaborate with engineers, architects, and client teams within cross-functional delivery pods to ensure successful scaled delivery of solutions.
Evaluate and adopt open-source tools to improve automation, observability, and deployment efficiency while aligning with enterprise guardrails.
Matching Summary
Play a key role in making AI solutions secure, scalable, and production-ready by building and managing cloud-native environments and automation pipelines.
Skills & Requirements
Must-have
CI/CD pipeline design and implementation
Infrastructure as Code (Terraform)
Containerization with Docker
Cloud-native environments (Azure, AWS)
Observability setup (logging, monitoring)
Secure deployment practices
Nice-to-have
AI/ML deployment experience
Kubernetes package management
Strong communication skills
Client IT/security liaison
Key Requirements
4+ years of experience
Degree in Computer Science or equivalent experience