Senior Systems Engineer – Azure DevOps & GenAI

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Job Description

• Experience: 5–8 years

Role Overview

We are looking for a Senior Systems Engineer with strong Azure DevOps and cloud infrastructure experience to design, automate, secure, and operate scalable Azure-based platforms. The role also requires practical exposure to GenAI application integration , including LLM APIs, RAG architecture, and AI-enabled backend systems.

Key Responsibilities

• Architect and build scalable, secure cloud infrastructure on Azure .
• Design and maintain advanced CI/CD pipelines with automation and quality gates.
• Automate infrastructure using Terraform, Bicep, ARM, and YAML .
• Deploy and manage AKS clusters and containerized workloads.
• Optimize systems for availability, performance, scalability, and cost efficiency.
• Support secure production deployments and troubleshooting.
• Integrate GenAI applications using LLM APIs and RAG-based architectures.
• Mentor junior engineers and support technical best practices.

Required Skills

• 5–8 years of experience in systems engineering, DevOps, or cloud engineering.
• Strong hands-on experience with Azure architecture and Azure DevOps .
• Expertise in CI/CD , infrastructure automation, and production deployment practices.
• Experience with Terraform, Bicep, ARM templates , and YAML pipelines.
• Hands‑on experience deploying and managing AKS / Kubernetes in production.
• Strong understanding of cloud networking, security, IAM, and troubleshooting.
• Experience administering both Windows and Linux systems.
• Familiarity with Azure AI Foundry , RAG architecture, Cognitive Search, vector databases, and LLM API integration.

Nice to Have

• Experience with AI agents and tool‑calling workflows.
• Working knowledge of MCP integration approaches.
• Exposure to enterprise AI‑enabled platforms.

Preferred Candidate Profile

The ideal candidate will be a strong Azure DevOps / Systems Engineer with hands‑on experience in Azure cloud infrastructure, CI/CD, Terraform, AKS, security, networking, Windows/Linux administration , and exposure to GenAI application integration .