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

- Robust 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.

About the job

Location

Bangalore

Created On

2026-05-21

Working Model

WFO

Job Level

Senior

📌 AI-Driven DevSecOps Engineer (Bengaluru)
🏢 Diksha Technologies
📍 Bengaluru