Educational Requirements

Bachelor of Engineering

Service Line

Quality

Responsibilities

- Analyze client IT environments to identify opportunities for enhanced efficiency using AI-powered DevSecOps tools and methodologies across traditional and cloud-native platforms.
- Prepare gap analysis and design a roadmap for AI-integrated DevOps automation, covering CI/CD/CT pipelines from requirements to deployment.
- Architect intelligent DevSecOps tooling infrastructure, defining interfaces and integrations with platforms like GitHub, GitLab, Azure DevOps, and AI-enhanced developer tools.
- Mentor DevOps engineers in leveraging Generative AI tools such as GitHub Copilot, GitLab Duo, and Microsoft 365 Copilot to accelerate development, testing, and deployment workflows.




- Apply Prompt Engineering techniques to optimize interactions with LLMs and improve automation, code generation, and documentation.
- Research and evaluate emerging technologies in AI/ML, MLOps, and Generative AI, contributing to solution development and innovation.

Preferred Skills:

- Technology->DevOps->DevOps Architecture Consultancy
- Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai
- Technology->AI-Responsible AI->Responsible AI->explainable ai
- Technology->Devops->Ansible

📌 DevSecOps Consultant (Bengaluru)
🏢 Infosys
📍 Bengaluru