Experience:6+ years of professional software development experience.3+ years of hands-on experience with Microsoft Azure services, including:Data & Storage: Azure SQL, Cosmos DB, Azure StorageCompute & App Hosting: Azure App Services, Azure Functions, Azure Kubernetes Service (AKS)Security & Monitoring: Azure Key Vault, Azure Monitor, Application Insights Technical Skills:Strong backend development expertise in Python, Node.js, or Go.Proficiency in Python
Experience:6+ years of professional software development experience.3+ years of hands-on experience with Microsoft Azure services, including:Data & Storage: Azure SQL, Cosmos DB, Azure StorageCompute & App Hosting: Azure App Services, Azure Functions, Azure Kubernetes Service (AKS)Security & Monitoring: Azure Key Vault, Azure Monitor, Application Insights Technical Skills:Strong backend development expertise in Python, Node.js, or Go.Proficiency in Python
AI Platform Solution Architect (Azure plus AWS)10-15Yrs26,450 - 35,260Power Platform and Copilot Studio Lead (Enterprise Low Code)5-9 Years10,315 - 17,600MLOps and LLMOps Engineering Lead5-9 Years10,315 - 17,600GenAI Engineer (RAG and Agentic Systems)5-9 Years11,900 - 17,633Cloud Platform Engineer (Azure landing zones for AI)5-9 Years11,900 - 17,633Infrastructure as Code and DevSecOps Engineer5-9 Years10,315 - 17,600Security, Compliance, and Responsible AI
AI Platform Solution Architect (Azure plus AWS)10-15Yrs26,450 - 35,260Power Platform and Copilot Studio Lead (Enterprise Low Code)5-9 Years10,315 - 17,600MLOps and LLMOps Engineering Lead5-9 Years10,315 - 17,600GenAI Engineer (RAG and Agentic Systems)5-9 Years11,900 - 17,633Cloud Platform Engineer (Azure landing zones for AI)5-9 Years11,900 - 17,633Infrastructure as Code and DevSecOps Engineer5-9 Years10,315 - 17,600Security, Compliance, and Responsible AI
Collaborate with Product teams ensuring that raw data is cleansed and transformedand useable by downstream consumers (ML Engineers, BI analytics) Expect level PL-SQL Assist and advise on the re-development and modernisation of end-to-end ETLpipelines and introduce new technologies where appropriate in a real-time streamingenvironment dealing with very large data volumes Working with AWS cloud infrastructure (specifically SQS, SNS, Redshift,OpenSearch,
Collaborate with Product teams ensuring that raw data is cleansed and transformedand useable by downstream consumers (ML Engineers, BI analytics) Expect level PL-SQL Assist and advise on the re-development and modernisation of end-to-end ETLpipelines and introduce new technologies where appropriate in a real-time streamingenvironment dealing with very large data volumes Working with AWS cloud infrastructure (specifically SQS, SNS, Redshift,OpenSearch,