DevSecOps Consultant with AI and Cloud Expertise

Infosys; Bengaluru; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

Infosys in Bengaluru is seeking a DevSecOps Consultant (JL6) to analyze client IT environments and drive AI-powered DevSecOps adoption across traditional and cloud-native platforms.

You will design roadmaps for automation, architect tooling integrations with GitHub, GitLab, and Azure DevOps, and mentor DevOps engineers in Generative AI tools to accelerate development, testing, and deployment. Strong knowledge of prompt engineering and ML/AI trends is preferred.

Qualifications

• Must have experience in DevSecOps and AI-enabled automation.
• Ability to design CI/CD/CT pipelines from requirements to deployment.
• Familiarity with GitHub, GitLab, and Azure DevOps interfaces.
• Experience mentoring engineers in Generative AI tooling.
• Knowledge of prompt engineering and LLM interactions.

Responsibilities

• Analyze client IT environments to identify AI-powered DevSecOps enhancements.
• Prepare gap analyses and roadmaps for AI-integrated automation.
• Architect tooling infra with GitHub, GitLab, Azure DevOps integrations.
• Mentor engineers using Generative AI tools like Copilot and Microsoft 365 Copilot.
• Apply prompt engineering to optimize LLM interactions and automation.
• Research AI/ML, MLOps, Generative AI innovations.

Skills

DevSecOps

CI/CD

Generative AI

AI tooling

Tools

GitHub

GitLab

Azure DevOps

Job description

DevSecOps Consultant - JL6

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.