AI-Driven DevSecOps - Assistant Manager (India)

AI-Driven DevSecOps - Assistant Manager (India)

03 Aug
|
Grant Thornton INDUS
|
India

03 Aug

Grant Thornton INDUS

India

- Job ID: 865221

- 7 - 10 Years

- 1 Opening
- Bengaluru, Kolkata

Role description

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

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

Skills

- 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 robust 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

📌 AI-Driven DevSecOps - Assistant Manager (India)
🏢 Grant Thornton INDUS
📍 India

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