Senior Systems Engineer - Microsoft Azure

EPAM Systems; Maharashtra; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

EPAM Systems in India is seeking a Senior Systems Engineer with deep Azure DevOps and cloud-native experience. You will design scalable cloud infrastructure on Azure, build CI/CD pipelines, and automate infrastructure with Terraform, YAML, and ARM.

You will lead AKS operations, ensure security, performance, and cost efficiency, and integrate GenAI applications using LLM APIs. Mentoring junior engineers and delivering production-grade deployments rounds out this hands-on role.

Qualifications

• Strong expertise in Azure cloud architecture and advanced CI/CD strategies.
• 1) Experience automating infrastructure at scale with Terraform, Bicep, and ARM.
• 2) Production deployment and AKS management experience.
• 3) Networking, security best practices, and IAM familiarity.
• 4) Experience with Azure AI Foundry or AI tooling is a plus.

Responsibilities

• Architect and build scalable Azure cloud infrastructure.
• Build sophisticated CI/CD pipelines with automation and quality checks.

Skills

Azure DevOps

CI/CD pipelines

GenAI integration

LLM APIs

Azure architecture

Terraform

Bicep

ARM

AKS

Networking & IAM

Windows & Linux

Cognitive Search

Vector databases

System design

Troubleshooting

Mentorship

Tools

Terraform

Bicep

ARM

AKS

CI/CD tooling

Azure DevOps

Job description

We're looking for a Senior Systems Engineer bringing extensive Azure DevOps knowledge along with practical experience constructing scalable, secure cloud-native and AI-enhanced solutions.

Responsibilities

• Architect and build out a cloud infrastructure on Azure designed for scalability
• Build sophisticated CI/CD pipelines incorporating automation and quality checkpoints
• Take the lead on automating infrastructure using Terraform, YAML, and ARM
• Oversee AKS clusters along with containerized application workloads
• Fine-tune systems to achieve strong availability, solid performance, and cost efficiency
• Construct backend services built on Azure-native components
• Roll out secure deployments suitable for production environments
• Develop and connect GenAI applications through LLM API integration
• Build backend infrastructure supporting AI-powered applications
• Provide mentorship and guidance to junior engineering staff

Requirements

• Between 5 and 8 years of experience in systems engineering
• Strong command of Azure architecture and implementing advanced CI/CD strategies
• Skilled in automating infrastructure at scale using Terraform, Bicep, and ARM
• Capability deploying and managing Kubernetes (AKS) in production settings
• Solid background in networking, security practices, and identity management (IAM)
• Experience administering both Windows and Linux operating systems
• Familiarity with Azure AI Foundry and RAG architecture using Cognitive Search or vector database solutions
• Ability to build and integrate GenAI applications leveraging LLM APIs
• Strong capabilities in system design and troubleshooting complex issues
• Demonstrated track record delivering production-grade deployments

Nice to have

• Familiarity with AI agents and tool-calling mechanisms
• Working knowledge of MCP integration approaches