Senior AI Developer Experience Engineer- GitHub Copilot & DevOps

STAFIDE

Job Location:

Amsterdam - Netherlands

Monthly Salary: Not Disclosed

Experience Required: 6-8years

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

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:

810 years of experience in software engineering DevOps platform engineering or developer enablement roles
Strong hands-on development experience with programming languages such as Python 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

Lets Connect

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

Recruiter: Asha Krishnan

Phone: ; Extn :146

Email:

LinkedIn: Skills:

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: 810 years of experience in software engineering DevOps platform engineering or developer enablement roles Strong hands-on development experience with programming languages such as Python 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 Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Asha Krishnan Phone: ; Extn :146 Email: LinkedIn: