Senior Systems Engineer - Microsoft Azure

EPAM Systems; Gurugram District; On-site; INR 2,800,000 - 4,000,000; Full time

Job summary

EPAM Systems is seeking a Senior Systems Engineer in Gurugram to design and implement Azure-based cloud infrastructure with a focus on scalability and security.

You will construct CI/CD pipelines, automate infrastructure with Terraform, YAML, and ARM, and oversee AKS clusters while mentoring junior engineers. Experience with Azure AI Foundry and GenAI integrations is highly valued.

Qualifications

• 5–8 years of systems engineering experience.
• Strong Azure architecture and advanced CI/CD.
• Automation of infrastructure at scale using Terraform, YAML, and ARM.
• Production deployment of AKS and container workloads.
• Networking, security, and IAM expertise.
• Windows and Linux administration experience.
• Familiarity with Azure AI Foundry and RAG with Cognitive Search or vector databases.
• GenAI integration using LLM APIs.
• Proven track record delivering production-grade deployments.
• Nice to have: AI agents and tool-calling familiarity.
• Nice to have: MCP integration knowledge.

Responsibilities

• Architect and scale Azure cloud infrastructure for growth and resilience.
• Build CI/CD pipelines with automation and quality checkpoints.
• Automate infrastructure using Terraform, YAML, and ARM.
• Oversee AKS clusters and containerized workloads.
• Ensure availability, performance, and cost efficiency.
• Develop backend services with Azure-native components.
• Deploy secure production-ready solutions.
• Integrate GenAI applications via LLM APIs.
• Mentor junior engineers and guide the team.

Skills

Cloud architecture

CI/CD design

System design

Troubleshooting

Mentoring

GenAI integration

Networking & security

IAM management

Windows & Linux admin

Tools

Azure DevOps

Terraform

Bicep

ARM

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