Purpose

• Streamline and automate routine DevOps operations by leveraging conversational AI.
• Reduce manual effort, accelerate response times and improve overall operational efficiency.

Work to be done / Tasks

• Analyze current DevOps workflows and identify repetitive requests suitable for automation via chatbots or virtual assistants (builds, incident reporting, FAQ handling).
• Design and develop an intelligent chatbot or virtual assistant integrated with DevOps tools (for example Jenkins, GitHub Actions) to assist in build incident management, perform automatic diagnosis and trigger automated remediation actions.
• Implement and enhance NLP capabilities to improve user interaction, handle natural language queries and extend functionalities based on user feedback and evolving DevOps practices.

Technical scope & Tools

• Integrate with CI/CD and DevOps tooling such as Jenkins, Git (GitHub Actions), and CI pipelines; implement APIs or connectors as needed.
• Use AI/NLP techniques and tools (Python-based stacks expected) for intent recognition, entity extraction, dialogue management and automated decisioning.
• Implement logging, monitoring and safety checks for automated actions to prevent unintended changes in production environments.

Expected deliverables

• A working prototype chatbot/virtual assistant integrated with at least one CI/CD tool demonstrating incident diagnosis, FAQ answering and automated remediation actions.
• Documentation covering architecture, integration points, NLP models, testing results and recommendations for production rollout.

Keywords / Skills

• DevOps, AI, NLP, CI/CD, Jenkins, Git, Python
• Experience or strong interest in conversational AI, automation workflows and practical integration with DevOps pipelines.

Application

• STunis 2026 — Project_ID05
• Link to apply is provided below.