DevSecOps Consultant - JL5

Infosys; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infosys is seeking a seasoned DevSecOps Architect to analyze client IT environments and craft AI-driven DevSecOps roadmaps across traditional and cloud-native platforms.

You will design intelligent tooling, integrate with GitHub, GitLab and Azure DevOps, and mentor engineers in Generative AI tools to accelerate development, testing, and deployment workflows. Bachelor of Engineering is required.

Qualifications

• Analyze client IT environments to identify efficiency opportunities with AI-powered DevSecOps.
• Prepare gap analyses and roadmaps for AI-integrated DevOps automation across CI/CD/CT pipelines.
• Architect tooling infrastructure with integrations to GitHub, GitLab and Azure DevOps.
• Mentor DevOps engineers in Generative AI tools for faster development and deployment.
• Apply prompt engineering to optimize LLM interactions and automation.
• Research AI/ML, MLOps and Generative AI to contribute to solution development.

Responsibilities

• Analyze client environments and design AI-driven DevSecOps solutions.
• Create roadmaps and designs for AI-enhanced CI/CD pipelines.
• Define interfaces between DevOps platforms and AI tools.
• Mentor junior engineers on Generative AI tooling and best practices.

Skills

DevOps Architecture

Ansible

GitHub

GitLab

Azure DevOps

Education

Bachelor of Engineering

Tools

GitHub

GitLab

Azure DevOps

Job description

Roles & 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.

Educational RequirementBachelor of Engineering

Preferred SkillsTechnology->DevOps->DevOps Architecture Consultancy,Technology->Devops->Ansible

Service LineQuality