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Infra/Cloud & GenAI Architect
Job Description & How to Apply Below
Microsoft Azure and Primary skills required are Deep knowledge in public Cloud technologies| and Dev Ops integration using Jenkins| Git Lab| and Kubernetes.
Contributions to open-source GenAIML projects or published papers.
Familiarity with Lang Chain| Llama Index| or similar orchestration frameworks
Expectations from the Role- Have 10 plus years of experience in design and implementation of Cloud technologies primarily Microsoft Azure and AWS
- Working Knowledge/experience in implementing the Cloud Foundation services such as VNET, VNET Peering, VPN setup, Express Route
- Experience in carrying out the MAP tool assessments and Site Recovery deployment planner tool
- Working knowledge/experience in designing and implementing Azure AD and user migrations from On Premise
- Working knowledge/experience in deployment of Open VPN, WAF, API gateway etc.
- Working knowledge/experience in setting up AD, DNS, Backup Configurations, Monitoring Solutions, Patching
- Hands on experience in Automation scripts such as Windows Power Shell/Bash, Python Scripting etc. Embed GenAI capabilities into web, mobile, and edge applications
- Migrating the On Premise Workloads to Cloud using Cloud Native toolsets such as ASR (Azure Site Recovery), Azure Migrate, and AWS Migration Hub, etc.
- Theoretical/working knowledge in CI/CD concepts and tools such as Azure Dev Ops / Git Lab
- Knowledge in ARM templates, and familiar with containers such as Openshift, Kubernetes, Docker etc.
- Expert level knowledge in Cloud Foundation design and Disaster Recovery scenarios
- Preparing Complex Cloud Designs and good problem solving skills including develop and deploy Infrastructure as Code (IaC) using Azure Bicep or Terraform
- Maintain Good Customer Rapport and should be to leading the Implementation and Migration Projects on Large Scale
- Good communication, analytical, presentation and documentation skills
- Experience with IT Service Management Tools (preferably Remedy, Service Now)
- Working Knowledge of Core Services such as AD, DNS, Monitoring, Backup, Patching and Security tools
- Must to have Azure Administrator Associate and anyone of the Architect certifications - Microsoft Azure 70-534 or 70-535
- Must to have Azure Solutions Architect Expert certification, Azure Dev Ops Engineer Expert certification, AWS Certified Solutions Architect certification
- Handling Multi Cloud platform is an advantage
- Good Understanding and Working knowledge on DC migration, P2V and V2V migrations
- Comprehensive understanding of Azure services, solutions, and management tools.
- Familiarity with Azure architecture, including regions, availability zones, and resource groups.
- Proficiency in creating and managing virtual machines, networks, and storage solutions.
- Experience with Azure Virtual Network, VPN Gateway, and Express Route.
- Knowledge of continuous integration and continuous deployment (CI/CD) practices.
- Experience with Azure Dev Ops, Git Hub Actions, and other CI/CD tools.
- Automating deployment processes using pipelines and infrastructure as code (IaC) with ARM templates, Terraform, or Bicep.
- Managing identities and access with Azure Active Directory (Azure AD).
- Implementing role-based access control (RBAC) and managing security policies.
- Expertise in Azure SQL Database, Azure Cosmos DB, and other database services.
- Skills in database design, optimization, and maintenance.
- Implementing security best practices and maintaining compliance with industry standards.
- Experience with Azure Security Center, Azure Policy, and Azure Sentinel.
- Using Azure Monitor, Log Analytics, and Application Insights for performance monitoring and optimization.
- Troubleshooting and resolving issues to ensure high availability and reliability.
- Building and shipping GenAI or LLM-driven products.
- Advanced Python (FastAPI, PyTorch, Hugging Face); plus proficiency in Type Script/Node.js, Go, or Java.
- Production experience on AWS or Azure with GPU workloads (Sage Maker, Bedrock, Azure ML).
- Strong grasp of algorithms, distributed systems, and data engineering (Spark, Kafka, Delta Lake).
- Commitment to responsible AI, data governance, and cybersecurity best practices for critical…
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