Senior AI Developer Experience Engineer- GitHub Copilot & DevOps

As a Senior AI Developer Experience Engineer, you will:

Drive the adoption and effective usage of GitHub 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 GitHub 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 GitHub Copilot integrations, developer workflows, and engineering toolchains
Collaborate with software engineers, architects, DevOps teams, and platform teams to optimize AI-driven development practices
Support implementation and rollout of GitHub 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

What You Bring to the Table:

8–10 years of experience in software engineering, DevOps, 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 GitHub Copilot or similar AI-assisted coding platforms
Strong understanding of GitHub ecosystem including repositories, pull requests, Git workflows, branching strategies, and code collaboration practices
Experience with Azure DevOps, CI/CD pipelines, automation, and modern DevOps 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

You Should Possess the Ability To:

Enable engineering teams to successfully adopt AI-assisted development practices
Translate GitHub 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 DevOps improvements
Work independently while collaborating effectively with cross-functional teams
Influence technical teams and stakeholders to drive adoption of new engineering capabilities

What We Bring to the Table:

Opportunity to lead enterprise AI-assisted development adoption initiatives
Exposure to GitHub Copilot, Azure, DevOps 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

Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.

Recruiter: Asha Krishnan

Phone: +31 20 369 0609 ; Extn :146

Email: [email protected]

LinkedIn: https://www.linkedin.com/in/asha-krishnan