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Senior Systems Engineer - Microsoft Azure with Gen AI
Job description
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 architecture Develop advanced CI/CD pipelines with automation and quality gates Lead infrastructure automation with Terraform, YAML and ARM Manage AKS clusters and containerized workloads Optimize systems for high availability, performance and cost Build backend services using Azure-native components Implement secure, production-grade deployments Build and integrate GenAI applications using LLM APIs Develop backend for AI-enabled applications Mentor junior engineers Requirements 5-8 years' experience in system engineering Expertise in Azure architecture and advanced CI/CD strategy implementation Proficiency in infrastructure automation at scale using Terraform, Bicep and ARM Skills in Kubernetes (AKS) production deployments Competency in networking, security and identity (IAM) Background in OS administration across Windows and Linux Knowledge of Azure AI Foundry and RAG architectures with Cognitive Search or Vector DB Capability to build and integrate GenAI applications using LLM APIs Strong system design and troubleshooting skills Proven experience in production-grade deployments Nice to have Understanding of AI agents and tools calling Familiarity with MCP integrations
Description copied from EPAM Systems's careers page. Read the full posting before you apply.
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