Senior AI Developer Experience Engineer- GitHub Copilot & DevOps (ID: 3871)
Key Skills
Job Description
- 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
- 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
- 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
- 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
Core Responsibilities
Drive the adoption and effective usage of GitHub Copilot and AI-assisted development tools across engineering teams. Collaborate with cross-functional teams to optimize AI-driven development practices and ensure alignment with enterprise security and compliance standards.
Requirements
Requires 8-10 years of experience in software engineering, DevOps, or platform engineering roles. Candidates must have strong hands-on development experience with languages like Python, Java, or .NET and familiarity with the GitHub ecosystem.
About STAFIDE
Industry: Staffing and Recruiting
Company size: 11-50 employees
Headquartered in the Netherlands, STAFIDE specializes in Niche Tech Recruitment across Europe, connecting top talent with outstanding opportunities in the IT sector. Our data-driven recruitment model ensures the ideal match between candidates and employers, enhancing both skill alignment and cultural fit. With a strong focus on Skill-Based Hiring, we provide candidates with an in-depth understanding of the organization—whether for permanent positions or temporary assignments (interim opdrachten) like secondment (detachering)—strengthening employer branding for our clients as a recruitment company (uitzendbureau). In today’s fast-evolving tech landscape, we recognize the unique challenges companies face in sourcing highly skilled talent. Our advanced, AI-driven talent intelligence system (ATS) is specifically designed to prioritize Skill-Based Hiring for niche IT roles, empowering organizations to address talent shortages by identifying professionals with the expertise to drive innovation and growth. Whether you’re a company in search of exceptional talent or a professional seeking your next ICT role, STAFIDE is your strategic recruitment (werving en selectie) partner. Our deep expertise in the Dutch market, combined with a steadfast commitment to excellence, makes us the preferred choice for all your recruitment needs.