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Senior Systems Engineer - Microsoft Azure with Gen AI

EPAM·Salary not specified

Primary stack

Azure DevOpsAKSAIRAGCI/CDAqua SecurityAzureTerraform

Nice to have's

AI agentstools callingMCP integrations

Job description

About the Position

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. Join our team in Pune, India, and contribute to the development of advanced CI/CD pipelines and GenAI applications.

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

About the Company

[Company description if present]

© EPAM. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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