Senior Systems Engineer – Azure DevOps & GenAI
TALPRO INDIA PRIVATE LIMITED · Staffing & Recruitment
- Bengaluru, India
- On-site
- Posted 25 days ago
- IT & Infrastructure
- Contract
About the job
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 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.
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.
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.
Azure / Kubernetes / DevOps certifications.
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 .