Required/Minimum Qualifications:
- Bachelor's Degree in Engineering, Computer Science, or related field AND 4+ years experience in software industry experience related to technology
- OR equivalent experience
4+ years of software development experience in C#, C++, or Java, with extensive knowledge of Azure services, including Storage, Identity, Networking, and VMware.
Proficient in Azure Machine Learning and AI services, with strong cloud development skills using CLI, PowerShell, Visual Studio, .NET, and JSON templates.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
- This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Bachelor's Degree in Engineering, Computer Science, or related field AND 8+ years software industry experience related to technology
- OR Master's Degree in Engineering, or related field AND 6+ years software industry experience related to technology
- OR equivalent experience.
- 2+ years customer facing experience.
8+ years of software development expertise in C#, C++, or Java, with solid experience implementing and supporting Azure technologies.
Skilled in AI-based solutions with Large Language Models (LLMs) like GPT-3 and GPT-4 to enhance Azure documentation.
Proficient in creating and managing technical documentation across various Azure areas.
Proven track record of working with enterprise customers on Azure-specific solutions, including troubleshooting, implementation, and feature adoption.
Active contributor on platforms like Microsoft Q&A, Stack Overflow, GitHub, and Reddit, sharing expertise and supporting technical discussions.
Passionate about creating blogs and/or videos to simplify and explain complex technical concepts to a broad audience.
Experienced speaker at cloud conferences, effectively communicating insights on Azure and cloud technologies.
Customer Experience Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until November 20, 2024.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
- Engage with Azure developers and IT professionals in communities (e.g., Microsoft Q&A, Stack Overflow) to address technical questions, solve customer issues, and enhance Azure documentation.
- Design and implement AI-based solutions using LLMs (e.g., GPT-3, GPT-4) to improve Azure documentation, including prompt engineering for content accuracy.
- Use AI to analyze and refine Azure documentation, identifying outdated, unclear, or incomplete sections, and compare with competitor platforms to identify gaps.
- Review user feedback, support tickets, and FAQs to identify common documentation issues, collaborating with SMEs to create high-quality, relevant content.
- Work with Azure engineering, product, and documentation teams to integrate AI-generated content, ensuring technical accuracy and alignment with standards.
- Maintain expertise in Azure Identity, Entra, Storage, Networking, and VMware, leveraging this knowledge to improve documentation quality and customer satisfaction.
- Develop tools to analyze community data, enhance internal processes, and advocate for customer needs by identifying improvement areas and driving actionable changes.
- Embody our Culture and Values.
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