AI-Driven DevSecOps Engineer

Position : AI-Driven DevSecOps Engineer

Timings - 11 to 9 or 12 to 9

AZ-400 and AZ-305 certifications are mandatory.

Mandatory Certifications

● Microsoft Certified: DevOps Engineer Expert (AZ-400)

● Microsoft Certified: Azure Solutions Architect Expert (AZ-305)

Key Responsibilities

1. AI & Automation (Core Focus)

● Design and develop AI-driven security agents using frameworks like LangChain,

LlamaIndex, AutoGen

● Build intelligent automation for:

○ Vulnerability triage

○ Incident response

○ Compliance reporting

● Integrate AI agents into CI/CD pipelines for automated security decision-making

2. Engineering & Development

● Develop RESTful APIs and microservices using FastAPI

● Build automation services in Python for security and cloud workflows

● Implement Infrastructure as Code (IaC) using Terraform

3. DevSecOps & Security

● Integrate security testing into CI/CD pipelines:

○ SAST ○ DAST ○ Dependency scanning ○ Container security scanning

● Work with tools like Snyk, OWASP ZAP

● Manage: ○ IAM ○ Secrets ○ Authentication & Authorization

● Conduct: ○ Threat modeling ○ Risk assessments ○ Security reviews

● Ensure compliance with: ○ ISO 27001 ○ SOC 2 ○ GDPR 4. Cloud & Platform

Engineering

● Design and secure cloud infrastructure (primarily Azure)

● Work with Git-based platforms: ○ GitHub ○ GitLab ○ Azure DevOps

● Monitor and improve infrastructure security posture

Required Skills & Qualifications

● Strong programming skills in Python (mandatory)

● Hands-on experience with FastAPI

● Experience with AI/LLM frameworks: ○ LangChain ○ LlamaIndex ○ AutoGen

● Strong DevSecOps expertise across CI/CD pipelines

● Experience with SAST/DAST tools and vulnerability management

● Hands-on experience with Azure cloud services & APIs

● Strong experience with Terraform

● Experience with Git-based DevOps workflows

● Strong understanding of: ○ IAM ○ Secrets management ○ Secure system design

● Familiarity with:

○ Docker

○ Kubernetes

○ Container security

● Strong networking and system security fundamentals

Preferred Qualifications

● Experience building production-grade AI agents

● Familiarity with monitoring & logging tools: ○ ELK Stack ○ Prometheus ○

Grafana

● Knowledge of Zero Trust Architecture

● Experience in cloud security & threat modeling

● Additional certifications: ○ CISSP / CEH / CISM ○ AWS Security Specialty

● Experience with Kubernetes security tools: ○ OPA ○ Kyverno ○ Falco

● Experience with secrets management tools: ○ HashiCorp Vault ○ Cloud-native

secret systems

● Azure AI Certification: ○ AI-103 (Azure AI Engineer Associate)

Soft Skills

● Strong system design and analytical thinking

● Ability to work across AI, DevOps, and Security domains

● Clear communication and documentation skills

● Strong collaboration with cross-functional teams

● Proactive and automation-first mindset

Nice-to-Have Experience / Projects

● Built AI-based vulnerability prioritization systems

● Developed autonomous or semi-autonomous DevSecOps agents

● Integrated LLMs into CI/CD or security workflows

● Built secure AI-driven cloud automation framework.