Collaborative Engineer, GitHub Copilot
Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with nine specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value.We are seeking an AI-forward Software Engineer with expert-level knowledge of GitHub Copilot and Amazon Q features. With both hands-on experience, and mentoring capabilities, this individual will design and deliver structured hands-on developer sprints centered around AI. This contractor opportunity is likely to include international travel for an extended period of time (potentially 4-6 weeks). For more details, please review the description below.
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.
Required Skills & Proficiencies
- 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.
Technical & Development Skills
- 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.
Preferred Qualifications:
- Certifications in cloud platforms (e.g., AWS) or DevOps practices.
- Contributions to open-source or developer communities.
- Patience, empathy, and adaptability in instructional settings.
Originally posted on Himalayas
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