Senior Systems Engineer - Microsoft Azure

EPAM Systems; Hyderabad; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

EPAM Systems in Hyderabad is seeking a Senior Systems Engineer with deep Azure DevOps expertise to design scalable, secure cloud-native and AI-enabled solutions.

You will architect cloud infrastructure on Azure, implement advanced CI/CD pipelines, automate with Terraform, Bicep and ARM, and manage AKS clusters.

The role includes mentoring junior engineers and delivering production-grade deployments with emphasis on reliability, performance, and cost efficiency.

Qualifications

• 5–8 years of systems engineering experience.
• Strong Azure architecture and CI/CD expertise.
• Experience automating infrastructure at scale.

Responsibilities

• Architect and implement scalable Azure cloud infrastructure.
• Build and optimize CI/CD pipelines with automation and quality gates.
• Automate infrastructure using Terraform, Bicep and ARM.
• Manage AKS clusters and containerized workloads.
• Ensure security, availability, and cost efficiency in production.
• Mentor junior engineers and drive best practices.

Skills

Azure DevOps

Cloud architecture

CI/CD pipelines

Security best practices

Networking

Linux/Windows

GenAI integration

Tools

Terraform

Bicep

ARM templates

AKS

Cognitive Search

LLM APIs

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