AI-Driven DevSecOps Engineer: 12+ years experience I

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.