Senior Systems Engineer - Microsoft Azure

We are looking for a Senior Systems Engineer with deep expertise in Azure DevOps and hands-on experience in building scalable, secure cloud-native and AI-powered solutions. Responsibilities Design and implement a scalable Azure architectureDevelop advanced CI/CD pipelines with automation and quality gatesLead infrastructure automation with Terraform, YAML and ARMManage AKS clusters and containerized workloadsOptimize systems for high availability, performance and costBuild backend services using Azure-native componentsImplement secure, production-grade deploymentsBuild and integrate GenAI applications using LLM APIsDevelop backend for AI-enabled applicationsMentor junior engineers Requirements 5-8 years' experience in system engineeringExpertise in Azure architecture and advanced CI/CD strategy implementationProficiency in infrastructure automation at scale using Terraform, Bicep and ARMSkills in Kubernetes (AKS) production deploymentsCompetency in networking, security and identity (IAM)Background in OS administration across Windows and LinuxKnowledge of Azure AI Foundry and RAG architectures with Cognitive Search or Vector DBCapability to build and integrate GenAI applications using LLM APIsStrong system design and troubleshooting skillsProven experience in production-grade deployments Nice to have Understanding of AI agents and tools callingFamiliarity with MCP integrations We are looking for a Senior Systems Engineer with deep expertise in Azure DevOps and hands-on experience in building scalable, secure cloud-native and AI-powered solutions. Responsibilities Design and implement a scalable Azure architectureDevelop advanced CI/CD pipelines with automation and quality gatesLead infrastructure automation with Terraform, YAML and ARMManage AKS clusters and containerized workloadsOptimize systems for high availability, performance and costBuild backend services using Azure-native componentsImplement secure, production-grade deploymentsBuild and integrate GenAI applications using LLM APIsDevelop backend for AI-enabled applicationsMentor junior engineers Requirements 5-8 years' experience in system engineeringExpertise in Azure architecture and advanced CI/CD strategy implementationProficiency in infrastructure automation at scale using Terraform, Bicep and ARMSkills in Kubernetes (AKS) production deploymentsCompetency in networking, security and identity (IAM)Background in OS administration across Windows and LinuxKnowledge of Azure AI Foundry and RAG architectures with Cognitive Search or Vector DBCapability to build and integrate GenAI applications using LLM APIsStrong system design and troubleshooting skillsProven experience in production-grade deployments Nice to have Understanding of AI agents and tools callingFamiliarity with MCP integrations