Senior AI Developer Experience Engineer- GitHub Copilot & DevOps (ID: 3871)
Active
Job description
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 teamsEnable developers to leverage AI coding assistants to improve productivity, code quality, and software delivery efficiencyProvide hands-on technical guidance and support for GitHub Copilot usage in real-world development environmentsDefine and promote best practices for AI-assisted software development, secure coding, and responsible AI usageTroubleshoot and resolve issues related to GitHub Copilot integrations, developer workflows, and engineering toolchainsCollaborate with software engineers, architects, DevOps teams, and platform teams to optimize AI-driven development practicesSupport implementation and rollout of GitHub Copilot across enterprise development environmentsConduct workshops, demonstrations, and enablement sessions to improve developer adoption and maturityAnalyze adoption metrics, productivity improvements, and usage patterns to measure the impact of AI development toolsEnsure alignment of AI-assisted development practices with enterprise security, governance, and compliance standardsContribute to continuous improvement of engineering processes through automation and AI-enabled solutionsWhat You Bring to the Table:8–10 years of experience in software engineering, DevOps, platform engineering, or developer enablement rolesStrong 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 platformsStrong understanding of GitHub ecosystem including repositories, pull requests, Git workflows, branching strategies, and code collaboration practicesExperience with Azure DevOps, CI/CD pipelines, automation, and modern DevOps practicesStrong knowledge of software engineering principles, clean coding standards, design patterns, and application development lifecycleExperience debugging, troubleshooting, reviewing, and optimizing application codeFamiliarity with Microsoft Azure cloud services and cloud-based development environmentsKnowledge of APIs, microservices architecture, Kubernetes, and modern application delivery practicesExperience with AI/ML developer tools, automation frameworks, or developer productivity platforms is preferredUnderstanding of security and compliance considerations when implementing AI-assisted coding solutionsStrong communication skills with the ability to work with developers, architects, leadership teams, and business stakeholdersYou Should Possess the Ability To:Enable engineering teams to successfully adopt AI-assisted development practicesTranslate GitHub Copilot capabilities into practical engineering improvements and business valueGuide teams on secure, efficient, and responsible usage of AI coding assistantsMentor developers and promote modern software engineering practicesIdentify opportunities to improve developer productivity through AI, automation, and DevOps improvementsWork independently while collaborating effectively with cross-functional teamsInfluence technical teams and stakeholders to drive adoption of new engineering capabilitiesWhat We Bring to the Table:Opportunity to lead enterprise AI-assisted development adoption initiativesExposure to GitHub Copilot, Azure, DevOps automation, and modern engineering practicesOpportunity to shape developer productivity and engineering transformation strategiesCollaborative environment with development, architecture, security, and platform teamsWork on innovative AI-driven initiatives focused on improving software delivery and engineering excellenceLet’s ConnectWant to discuss this opportunity in more detail? Feel free to reach out.Recruiter: Asha KrishnanPhone: +31 20 369 0609 ; Extn :146Email: asha.k@stafide.nlLinkedIn: https://www.linkedin.com/in/asha-krishnanAs a Senior AI Developer Experience Engineer, you will:Drive the adoption and effective usage of GitHub Copilot and AI-assisted development tools across engineering teamsEnable developers to leverage AI coding assistants to improve productivity, code quality, and software delivery efficiencyProvide hands-on technical guidance and support for GitHub Copilot usage in real-world development environmentsDefine and promote best practices for AI-assisted software development, secure coding, and responsible AI usageTroubleshoot and resolve issues related to GitHub Copilot integrations, developer workflows, and engineering toolchainsCollaborate with software engineers, architects, DevOps teams, and platform teams to optimize AI-driven development practicesSupport implementation and rollout of GitHub Copilot across enterprise development environmentsConduct workshops, demonstrations, and enablement sessions to improve developer adoption and maturityAnalyze adoption metrics, productivity improvements, and usage patterns to measure the impact of AI development toolsEnsure alignment of AI-assisted development practices with enterprise security, governance, and compliance standardsContribute to continuous improvement of engineering processes through automation and AI-enabled solutionsWhat You Bring to the Table:8–10 years of experience in software engineering, DevOps, platform engineering, or developer enablement rolesStrong 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 platformsStrong understanding of GitHub ecosystem including repositories, pull requests, Git workflows, branching strategies, and code collaboration practicesExperience with Azure DevOps, CI/CD pipelines, automation, and modern DevOps practicesStrong knowledge of software engineering principles, clean coding standards, design patterns, and application development lifecycleExperience debugging, troubleshooting, reviewing, and optimizing application codeFamiliarity with Microsoft Azure cloud services and cloud-based development environmentsKnowledge of APIs, microservices architecture, Kubernetes, and modern application delivery practicesExperience with AI/ML developer tools, automation frameworks, or developer productivity platforms is preferredUnderstanding of security and compliance considerations when implementing AI-assisted coding solutionsStrong communication skills with the ability to work with developers, architects, leadership teams, and business stakeholdersYou Should Possess the Ability To:Enable engineering teams to successfully adopt AI-assisted development practicesTranslate GitHub Copilot capabilities into practical engineering improvements and business valueGuide teams on secure, efficient, and responsible usage of AI coding assistantsMentor developers and promote modern software engineering practicesIdentify opportunities to improve developer productivity through AI, automation, and DevOps improvementsWork independently while collaborating effectively with cross-functional teamsInfluence technical teams and stakeholders to drive adoption of new engineering capabilitiesWhat We Bring to the Table:Opportunity to lead enterprise AI-assisted development adoption initiativesExposure to GitHub Copilot, Azure, DevOps automation, and modern engineering practicesOpportunity to shape developer productivity and engineering transformation strategiesCollaborative environment with development, architecture, security, and platform teamsWork on innovative AI-driven initiatives focused on improving software delivery and engineering excellenceLet’s ConnectWant to discuss this opportunity in more detail? Feel free to reach out.Recruiter: Asha KrishnanPhone: +31 20 369 0609 ; Extn :146Email: asha.k@stafide.nlLinkedIn: https://www.linkedin.com/in/asha-krishnanAs a Senior AI Developer Experience Engineer, you will:As a Senior AI Developer Experience Engineer, you will: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
- 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
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