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 (Pune)
🏢 EPAM Systems
📍 Pune