Job Title: AI-Driven DevSecOps Engineer - Consultant

Role Overview

We are seeking an experienced AI-Driven DevSecOps Engineer to design and implement intelligent, automated security systems across the software development lifecycle. This role sits at the intersection of DevSecOps, cloud engineering, and AI automation, focusing on building AI-powered agents that enhance security posture, reduce risk, and accelerate secure software delivery.

You will leverage LLM frameworks, cloud-native technologies, and DevSecOps practices to build scalable, secure, and intelligent automation systems integrated directly into CI/CD pipelines and cloud infrastructure.

Required Certifications (Mandatory)

Candidates must hold the following Azure certifications:
Microsoft Certified: DevOps Engineer Expert (AZ-400)
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)

Key Responsibilities

AI + Automation (Core Focus)
Design and develop AI-driven security agents using frameworks such as LangChain, LlamaIndex, and AutoGen
Build intelligent automation for vulnerability triage,



incident response, and compliance reporting
Integrate AI agents into CI/CD pipelines to automate security decision-making and enforcement

Engineering Development
Build and deploy RESTful APIs and microservices using FastAPI
Develop automation services in Python for security workflows and cloud operations
Implement Infrastructure as Code using Terraform

DevSecOps Security
Integrate security testing (SAST, DAST, dependency, and container scanning) into CI/CD pipelines
Work with tools like Snyk, OWASP ZAP, and similar vulnerability scanners
Manage secrets, IAM, authentication, and authorization securely
Conduct threat modeling, risk assessments, and security reviews
Ensure compliance with standards such as ISO 27001, SOC 2, and GDPR

Cloud Platform Engineering
Design, deploy, and secure cloud infrastructure (primarily Azure) using cloud APIs
Collaborate with Git-based pl

📌 Ai Driven Devsecops Eng Kolkata (India)
🏢 Grant Thornton
📍 India