Senior Systems Engineer – Azure DevOps & GenAI

Role Details
Experience: 5–8 years
Primary Skills: Azure DevOps, Azure Cloud, CI/CD, Terraform, Bicep, ARM, AKS, Kubernetes
AI Exposure: Azure AI Foundry, RAG, LLM APIs, Cognitive Search / Vector DBs
OS: Windows & Linux
Location/Mode/Budget : Bengaluru/Hybrid/ Open (As per Market Standards)

Role Overview

We are looking for a Senior Systems Engineer with solid 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.




Build backend services using Azure-native components.
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.
Robust 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.
Solid 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 Ha

📌 Senior Systems Engineer – Azure Devops Bengaluru (India)
🏢 Talpro INdia
📍 India