Senior Systems Engineer – Azure DevOps & GenAI

TALPRO INDIA PRIVATE LIMITED; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

TALPRO INDIA PRIVATE LIMITED is seeking a Senior Systems Engineer in Bengaluru to design, automate, secure, and operate scalable Azure-based platforms. You will architect cloud infrastructure, implement CI/CD pipelines, and integrate GenAI applications using LLM APIs and RAG architectures.

You will mentor junior engineers, optimize for availability and cost, and work across Windows and Linux environments. Strong Azure DevOps, Terraform, AKS, and security focus are required.

Qualifications

• 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.

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.

Skills

Azure DevOps

CI/CD pipelines

Cloud infrastructure

GenAI integration

Kubernetes

Windows & Linux administration

Security & IAM

Tools

Azure

Terraform

Bicep

ARM templates

YAML

AKS

GenAI tools

Job description

Talpro is leading the way in transforming the talent acquisition landscape. We deliver innovative, sustainable, and cost-effective recruitment solutions tailored to today’s business needs. Our mission is to offer comprehensive hiring strategies that address immediate recruitment demands while laying the groundwork for long-term success.

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 .