Atmosera - Collaborative Engineer, GitHub Copilot (Remote
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Requirements
• 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. • 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.
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.