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




- Robust 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

📌 Senior Systems Engineer - Microsoft Azure (Gurugram)
🏢 EPAM Systems
📍 Gurugram