Senior Systems Engineer – Azure DevOps & GenAI

Talpro India Private Limited; Hinoba-an; On-site; PHP 1,000,000 - 1,800,000; Full time

Job summary

Talpro India Private Limited is seeking a Senior Systems Engineer to design, automate, secure, and operate scalable Azure‑based platforms. You will leverage Azure DevOps, Terraform, and Kubernetes to deliver reliable cloud infrastructure and GenAI integration.

The role requires 5–8 years of hands‑on experience, strong CI/CD practices, and the ability to mentor junior engineers while optimizing cost and performance across cloud environments.

Qualifications

• 5–8 years of systems engineering, DevOps, or cloud experience.
• Strong Azure architecture and Azure DevOps hands‑on.
• CI/CD, infrastructure automation, and production deployments.
• Terraform, Bicep, ARM templates, and YAML pipelines.
• AKS / Kubernetes in production environments.
• Cloud networking, security, IAM, and troubleshooting.
• Windows and Linux administration.
• Azure AI Foundry, RAG, LLM API integration familiarity.

Responsibilities

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

Skills

Azure DevOps

Azure architecture

CI/CD pipelines

Terraform

Bicep

ARM templates

AKS / Kubernetes

Windows administration

Linux administration

GenAI integration

Tools

YAML pipelines

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 .