Must Have Skills/Project Experience/Certifications
- 3+ years of technology experience in enterprise cloud or hybrid infrastructure environments.
- 2+ years of hands-on experience with Azure administration, networking, and security.
- Advanced experience with Azure Kubernetes Service (AKS), KMS, and ArgoCD.
- Proven experience deploying and managing AI/ML workloads, including LLMs and GPU-based clusters (Nvidia H100 preferred).
- Experience integrating Azure services (API Management, VMs, Okta ASA) and ensuring compliance with enterprise standards.
- Bachelor’s in computer science, information technology, or similar field.
- Excellent communication skills and experience mentoring technical teams.
- Strong troubleshooting and problem-solving skills for cloud and hybrid environments.
- Good to Have Skills/Project Experience/Certifications
- Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer).
- Experience with DGX systems and hybrid cloud/on-premises environments.
- Familiarity with AEF standards and regulatory compliance.
- Experience with automation and infrastructure-as-code (e.g., Terraform, ARM templates).
- Consulting experience in a client-facing workplace.
Work shift Timings:Night shift (06:30 pm to 03:30 a.m. IST)
Education:
Minimum of a bachelor’s degree within a technical field.