Senior Systems Engineer - Microsoft Azure

EPAM Systems; Gurgaon; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

EPAM Systems is seeking a Senior Systems Engineer to design and implement scalable, secure cloud-native solutions on Azure, with strong CI/CD practices and AI/GenAI integration. You will lead infrastructure automation and oversee AKS workloads, while mentoring junior engineers.

The ideal candidate has 5–8 years of systems engineering experience, deep Azure architecture knowledge, and hands-on experience with Terraform, Bicep, ARM, and containerized deployments in production.

Qualifications

• 5–8 years of systems engineering experience.
• Strong Azure architecture and advanced CI/CD skills.
• Experience automating infrastructure at scale with Terraform, Bicep, and ARM.
• Production-grade Azure AKS deployments.
• Networking, security, and IAM fundamentals.
• Experience with Windows and Linux administration.
• Familiarity with Azure AI Foundry and RAG architecture using Cognitive Search or vector databases.
• Ability to build GenAI applications via LLM APIs.
• Strong system design and troubleshooting abilities.
• Proven track record of scalable, reliable deployments.

Responsibilities

• Architect and build scalable Azure cloud infrastructure.
• Develop CI/CD pipelines with automation and quality gates.
• Automate infrastructure using Terraform, YAML, and ARM.
• Manage AKS clusters and containerized workloads.
• Optimize availability, performance, and cost efficiency.
• Build backend services using Azure-native components.
• Roll out secure, production-ready deployments.
• Develop GenAI applications via LLM API integrations.
• Support AI-powered backend infrastructure.
• Provide mentorship to junior engineers.

Skills

Azure DevOps

Cloud architecture

Networking

IAM

Tools

Terraform

Bicep

ARM

AKS

Kubernetes

Cognitive Search

LLM APIs

Job description

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