Senior Systems Engineer - Microsoft Azure with Gen AI

Epam Systems; Hyderabad, Chennai District, Bengaluru; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Epam Systems is seeking a Senior Systems Engineer with strong Azure DevOps expertise to design scalable, secure cloud-native and GenAI-enabled solutions. You will architect Azure infrastructure, implement CI/CD pipelines, and automate with Terraform, Bicep, and ARM. Expect leadership on AKS and multi-OS environments.

The role emphasizes production-grade deployments, performance tuning, and mentoring. Candidates should have 5–8 years in systems engineering and deep Azure proficiency.

Qualifications

• 5–8 years in systems engineering with Azure focus.
• Strong experience building scalable, secure cloud-native solutions.
• Proven ability to design and implement CI/CD pipelines at scale.

Responsibilities

• Architect and build scalable Azure cloud infrastructure.
• Create sophisticated CI/CD pipelines with automation and quality checks.
• Automate infrastructure using Terraform, YAML, and ARM.
• Oversee AKS clusters and containerized workloads.
• Improve availability, performance and cost efficiency.
• Develop backend services using Azure-native components.
• Deliver secure production deployments.
• Mentor junior engineers and guide best practices.
• Integrate GenAI applications via LLM APIs.

Skills

Azure architecture

CI/CD pipelines

GenAI integration

LLM APIs

Kubernetes (AKS)

Terraform

Bicep

ARM templates

Networking

Security practices

IAM

Windows & Linux

System design

Troubleshooting

Tools

Terraform

Bicep

ARM

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