Key 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->Ansible,Technology->DevOps->DevOps Architecture Consultancy,Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai,Technology->Application Security->DevSecOps

📌 DevSecOps Consultant (India)
🏢 Infosys
📍 India