Senior Systems Engineer - Microsoft Azure

EPAM Systems; Chennai District; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

EPAM Systems is seeking a Senior Systems Engineer in Chennai to architect and implement scalable Azure cloud infrastructure. You will lead the design of secure cloud-native solutions and build complex CI/CD pipelines with automation and governance.

Responsibilities include deploying AKS clusters, automating infrastructure with Terraform/YAML/ARM, and integrating GenAI applications via LLM APIs while mentoring junior engineers.

Qualifications

• Extensive Azure cloud architecture and DevOps experience.
• Ability to design scalable, secure cloud-native solutions.
• Proficiency with Terraform, Bicep, and ARM for IaC.

Responsibilities

• Architect and build scalable Azure infrastructure.
• Create advanced CI/CD pipelines with automation and quality gates.
• Automate infrastructure using Terraform, YAML, and ARM.

Skills

Azure DevOps

Terraform

Bicep

ARM

Kubernetes AKS

CI/CD pipelines

GenAI & LLM APIs

Networking

Security

IAM

Windows & Linux

Education

Bachelor's degree or equivalent

Tools

AKS

Terraform

Kubernetes

ARM

Bicep

YAML

Cognitive Search

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