Senior Cloud Engineer with AI (Hyderabad)

We are seeking a Cloud Engineer to design and implement scalable, cloud-native workflows for AI, and ML systems. This role focuses on building automated, event-driven pipelines using Apache Airflow, Azure Functions, and EventGrid, with full observability through Azure-native monitoring tools. The ideal candidate will have experience integrating these components into secure, production-grade environments using Infrastructure-as-Code (IaC) and CI/CD practices. Job Requirements Must-Have Skills & Experience - Workflow Orchestration: Experience designing and managing end-to-end GenAI/AI/ML workflows using Apache Airflow or equivalent - Event-Driven Architecture: Proficiency in building event-driven systems using Azure Functions and EventGrid - Equivalent experience with AWS Lambda + EventBridge or GCP Cloud Functions + Eventarc is acceptable - Monitoring & Observability: Hands-on experience implementing monitoring, logging, and alerting using Azure Log Analytics, Azure Monitor, and Alerts - Equivalent experience with AWS CloudWatch or GCP Operations Suite is acceptable - CI/CD Integration: Experience integrating workflow components into CI/CD pipelines using Azure DevOps Pipelines (preferred), or equivalent tools such as AWS CodePipeline or Google Cloud Build - Infrastructure as Code (IaC): Proficiency in managing cloud infrastructure using Terraform, preferably on Azure - Equivalent experience on AWS or GCP is acceptable - Cloud Services Integration: Familiarity with cloud-native services such as Blob Storage, Data Lake, SQL Database, Cosmos DB, and Key Vault in Azure - Equivalent services in AWS or GCP are acceptable Networking & Security: - o Experience configuring Azure Virtual Networks (VNets), subnets, and network security rules. Equivalent experience with AWS VPCs or GCP VPCs is acceptable. - o Solid understanding of IAM principles, with experience implementing least-privilege access controls in Azure IAM (preferred), or equivalent in AWS IAM or GCP IAM. - o E .