Back
Tier-1 brand and metro location increase applicant density, but senior niche role limits competition.
Highly specialized cloud and AI infrastructure requirements reduce cross-industry transferability.
Extensive mandatory cloud, IaC, Kubernetes, multi-cloud and AI-infrastructure skills create strict technical filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and operate enterprise-scale cloud and on-premises infrastructure for advanced AI workloads across multi-cloud environments (AWS and Azure).
Architect and deploy automated, Infrastructure-as-Code-driven cloud provisioning with CI/CD pipelines for zero-touch deployments.
Build and operate multi-tenant platform infrastructure with strict tenant isolation, governance, and chargeback mechanisms, including on-premises GPU/CPU clusters and hybrid-cloud connectivity.
Proven expertise with multi-cloud platforms AWS and Azure, including Well-Architected principles.
Experience with Infrastructure-as-Code tools such as Terraform, Pulumi, Bicep, or CDK and CI/CD pipelines.
Hands-on experience with on-premises infrastructure for GPU/CPU clusters, HPC, networking, and storage, including hybrid-cloud connectivity solutions.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced architect skilled at integrating diverse infrastructure components including vector databases, document stores, relational and graph databases for AI retrieval systems.
Capable of defining and implementing scalable platform strategies combining cloud autoscaling and on-premises capacity planning.
Proficient in deploying cloud-native workloads including microservices (service mesh, API gateway), AI inference and model hosting platforms (SageMaker, Azure ML, Triton).