Cloud DevOps SME - Azure, AWS, GenAI
Summary
Design and implement cloud infrastructure, CI/CD pipelines, and GenAI solutions using Azure, AWS, Python, and Kubernetes.
Skills: Digital : Cloud DevOps
Essential Skills: Cloud DevOps SME - CICD pipelines | GitHub Jenkins | Docker (image creation | registries) | Azure Kubernetes Service (AKS)
Experience Required: 10–12 years of overall experience in cloud infrastructure and solution design
Top 3 Required Skills:
- Azure & AWS Cloud Architecture – Design and implementation of cloud foundation services (VNET, VPN, ExpressRoute, Azure AD, ASR, AWS Migration Hub).
- GenAI / LLM Engineering – Hands‑on experience building and scaling GenAI solutions using Python, FastAPI, PyTorch, Hugging Face, Azure ML / AWS SageMaker.
- DevOps & Infrastructure as Code (IaC) – CI/CD implementation using Azure DevOps or GitLab and IaC with Terraform, Azure Bicep, ARM; Kubernetes-based deployments.
Top 3 Preferred Skills:
- Multi‑Cloud & Large‑Scale Migration Leadership – Azure + AWS hybrid/multi-cloud designs and enterprise migration programs.
- Security, Compliance & DR Architecture – Cloud security best practices, disaster recovery design, audit and compliance support.
- Strong Communication & Stakeholder Management – Customer‑facing architecture discussions, CAB participation, documentation (HLD/LLD), and technical leadership.