Senior AI Developer Engineer- GitHub Copilot & DevOps

Senior AI Developer Experience Engineer
- Git Hub Copilot & Dev Ops () As a Senior AI Developer Experience Engineer, you will:

• Drive the adoption and effective usage of Git Hub Copilot and AI-assisted development tools across engineering teams
• Enable developers to leverage AI coding assistants to improve productivity, code quality, and software delivery efficiency
• Provide hands‑on technical guidance and support for Git Hub Copilot usage in real‐world development environments
• Define and promote best practices for AI‑assisted software development, secure coding, and responsible AI usage
• Troubleshoot and resolve issues related to Git Hub Copilot integrations, developer workflows, and engineering tool chains
• Collaborate with software engineers, architects, Dev Ops teams, and platform teams to optimize AI‑driven development practices
• Support implementation and rollout of Git Hub Copilot across enterprise development environments
• Conduct workshops, demonstrations, and enablement sessions to improve developer adoption and maturity
• Analyze adoption metrics, productivity improvements, and usage patterns to measure the impact of AI development tools
• Ensure alignment of AI‑assisted development practices with enterprise security, governance, and compliance standards
• Contribute to continuous improvement of engineering processes through automation and AI‑enabled solutions

• 8–10 years of experience in software engineering, Dev Ops, platform engineering, or developer enablement roles
• Strong hands‑on development experience with programming languages such as Python, Java, .NET, or similar technologies (Python preferred)
• Practical experience with Git Hub Copilot or similar AI‑assisted coding platforms
• Strong understanding of Git Hub ecosystem including repositories, pull requests, Git workflows, branching strategies, and code collaboration practices
• Experience with Azure Dev Ops, CI/CD pipelines, automation, and modern Dev Ops practices
• Strong knowledge of software engineering principles, clean coding standards, design patterns, and application development lifecycle
• Experience debugging, troubleshooting, reviewing, and optimizing application code
• Familiarity with Microsoft Azure cloud services and cloud‑based development environments
• Knowledge of APIs, microservices architecture, Kubernetes, and modern application delivery practices
• Experience with AI/ML developer tools, automation frameworks, or developer productivity platforms is preferred
• Understanding of security and compliance considerations when implementing AI‑assisted coding solutions
• Strong communication skills with the ability to work with developers, architects, leadership teams, and business stakeholders

• Enable engineering teams to successfully adopt AI‑assisted development practices
• Translate Git Hub Copilot capabilities into practical engineering improvements and business value
• Guide teams on secure, efficient, and responsible usage of AI coding assistants
• Mentor developers and promote modern software engineering practices
• Identify opportunities to improve developer productivity through AI, automation, and Dev Ops improvements
• Work independently while collaborating effectively with cross‑functional teams
• Influence technical teams and stakeholders to drive adoption of new engineering capabilities

• Opportunity to lead enterprise AI‑assisted development adoption initiatives
• Exposure to Git Hub Copilot, Azure, Dev Ops automation, and modern engineering practices
• Opportunity to shape developer productivity and engineering transformation strategies
• Collaborative environment with development, architecture, security, and platform teams
• Work on innovative AI‑driven initiatives focused on improving software delivery and engineering excellence