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AI-Driven DevSecOps Eng - Consultant

Grant Thornton INDUS -
Kolkata, West Bengal

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Job details

Qualifications

CI/CD
Cloud infrastructure
Azure
Law
Kubernetes
DevOps
CISSP
System design
Git
English
Master's degree
CEH
CISM
AWS
Docker
Cloud security
Terraform
Continuous integration
Azure Certification
REST
ISO 27002
GitHub
APIs
ISO 27001
SIEM
AI
AWS Certified Security – Specialty
System security
GitLab
Communication skills
Python
Identity & access management
SDLC

Full job description

ID: 866570

1 - 3 Years

1 Opening

Bengaluru, Kolkata

Role description

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

Skills

Required Skills & Qualifications

Strong programming skills in Python (must-have)
Hands-on experience with FastAPI
Experience with LLM/AI frameworks such as LangChain, LlamaIndex, or AutoGen
Strong DevSecOps expertise across CI/CD pipelines
Experience with SAST/DAST tools and vulnerability management workflows
Hands-on experience with Azure cloud services and APIs
Strong experience with Terraform
Experience with Git-based DevOps workflows
Strong understanding of IAM, secrets management, and secure system design
Familiarity with Docker, Kubernetes, and container security
Strong understanding of networking and system security principles

Preferred Qualifications

Experience building production-grade AI agents or automation systems
Familiarity with SIEM, logging, and monitoring tools (e.g., ELK, Prometheus, Grafana)
Knowledge of zero trust architecture
Experience with cloud security and threat modeling
Additional security certifications (CISSP, CEH, CISM, AWS Security Specialty)
Experience with Kubernetes security tools (OPA, Kyverno, Falco)
Secrets management tools (HashiCorp Vault, cloud-native secrets systems)
Azure AI App & Agent Developer (AI-103)

Soft Skills

Strong system design and problem-solving abilities
Ability to work across AI, DevOps, and security domains
Clear communication and technical documentation skills
Strong collaboration with engineering and security teams
Proactive mindset toward automation and continuous improvement

Nice-to-Have Projects

Built AI-based vulnerability prioritization or triage systems
Developed autonomous or semi-autonomous DevSecOps agents
Integrated LLMs into CI/CD, security, or infrastructure workflows
Built secure cloud automation frameworks using AI

About Grant Thornton INDUS

‘Grant Thornton INDUS’ comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. What sets us apart isn’t just what we do – it’s how we do it. We support and enable the firm’s purpose of making business more personal and building trust into every result. We’re collaborators – obsessed with quality and ready for anything – who understand the value of strong relationships. Our professionals are well integrated to seamlessly support the U.S. engagement teams, help increase Grant Thornton’s access to a wide talent pool, and improve operational efficiencies. Empowered people, bold leadership, and distinctive client service are imbibed in the culture at Grant Thornton INDUS. We are a transparent, competitive, and excellence-driven firm that offers an opportunity to be part of something significant. In addition, professionals at Grant Thornton INDUS serve communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India – Bengaluru and Kolkata

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modeling engineer jobs in kolkata west bengal

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