Senior Systems Engineer - Microsoft Azure

EPAM Systems; Maharashtra; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

EPAM Systems in Maharashtra, India seeks a Senior Systems Engineer with deep expertise in Azure DevOps and hands-on experience in building scalable, secure cloud-native and AI-powered solutions.

The role involves designing scalable Azure architectures, creating CI/CD pipelines, automating with Terraform and ARM, managing AKS workloads, and building GenAI-enabled services with LLM APIs while mentoring juniors.

Qualifications

• 5-8 years of experience in system engineering.
• Expertise in Azure architecture and CI/CD strategies.
• Proficiency in infrastructure automation with Terraform, Bicep and ARM.
• Kubernetes (AKS) production deployments.
• Networking, security and IAM proficiency.
• OS administration across Windows and Linux.
• Experience with Azure AI Foundry, Cognitive Search or Vector DB.
• GenAI apps using LLM APIs.
• Strong system design and troubleshooting skills.
• Production-grade deployments experience.

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.

Skills

Azure architecture

CI/CD strategy

GenAI with LLM APIs

Azure AI Foundry / Cognitive Search /V

Kubernetes AKS deployments

IAM / Networking / Security

OS administration (Windows/Linux)

System design & troubleshooting

Tools

Terraform

Bicep

ARM

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