Collaborative Engineer GitHub Copilot Remote - APAC - Talent Pipeline

Atmosera empowers businesses to redefine whats 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.

THIS ROLE WILL WORK INDIA STANDARD TIME (IST) HOURS (UTC+5:30) BUT CAN BE REMOTE

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.
  
  

This is a contractor position in the United States with the ability to work from home but may require travel to a client site.

Atmosera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided on the basis of qualifications, merit, and business need.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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