AI-Driven DevSecOps Eng - Consultant

Job Title: AI-Driven DevSecOps Engineer - Consultant

Role Overview

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

You will leverageLLM 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)

Candidatesmust 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 platforms (GitHub, GitLab, Azure DevOps) for secure SDLC automation
• Monitor and improve infrastructure security posture across environments