Software Engineer - Copilot/Github

Overview

The GCAF Collaborative Engineer will lead hands-on developer sprints focused on GitHub Copilot and Amazon Q, delivering live coding sessions, demos, and collaborative labs.

The role involves mentoring developers on prompt engineering, debugging, and real-world problem-solving while creating high-quality instructional materials.

The engineer will adapt training approaches based on participant feedback and promote responsible AI usage.

Strong generative AI expertise, advanced technical skills, and excellent facilitation capabilities are essential to drive AI-enabled developer productivity.

Key Responsibilities

• Design and deliver structured, hands-on developer sprints focused on GitHub Copilot and Amazon Q.
• Facilitate live coding sessions, demonstrations, and collaborative labs.
• Mentor developers through real-world challenges, providing guidance on prompt engineering, debugging, and feature implementation.
• Develop and maintain instructional materials, including curriculum, documentation, and best-practice guides.
• Adapt instructional strategies based on participant feedback and learning progress.
• Promote responsible AI usage, including security, ethics, and data privacy considerations.
  
  

• Generative AI & Tool Expertise, including MCP usage and Agentic Orchestration.
• Expert-level knowledge of GitHub Copilot and Amazon Q features, including Copilot Chat agents and Amazon Q's /dev command.
• Advanced prompt engineering skills for both platforms.
• Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase reasoning.
• Intermediate understanding of LLM fundamentals, AI ethics, and security practices.
• Strong problem-solving mindset and diagnostic skills.
• Passion for generative AI and developer enablement.
• Instructional & Communication Skills.
• Advanced curriculum development and public speaking abilities.
• Expert-level live coding and demonstration skills.
• Strong mentoring and facilitation capabilities.
• Intermediate technical writing skills for post-sprint resources.
  
  

• Advanced proficiency in at least one of Python, JavaScript/TypeScript, or Java.
• Expert fluency with IDEs such as VS Code and JetBrains.
• Deep understanding of GitHub Flow, Agile practices, and version control.
• Intermediate knowledge of cloud and DevOps fundamentals (AWS, IaC, CI/CD).
• Strong grasp of testing and debugging strategies.
  
  

• Certifications in cloud platforms (e.g , AWS) or DevOps practices.
• Contributions to open-source or developer communities.
• Patience, empathy, and adaptability in instructional settings.
  
  

(ref:hirist.tech)