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Developers are working hard to build our new reality, and the Azure Experience & Ecosystems Engineering team is here to help. The team's product, Microsoft Learn, offers learning paths, content, and interactive experiences that help people develop the skills that in-demand jobs require. As such, we contribute directly to Microsoft's mission to empower every person and every organization on the planet to achieve more. As a Software Engineer II in Azure Experience & Ecosystems Engineering team, you will build the Microsoft Learn product which will positively impact how people experience Microsoft's technology. You will be responsible for building Content and Learning experiences through constant innovation, design, and implementing state-of-the-art systems. This opportunity will allow you to learn from unique engineering challenges in AI, frontend and backend services and leverage AI to shape Microsoft Learn into a trusted, personalized knowledge platform that meets developers where they are.
Job Responsibility:
Works with product management, design and data analyst teams to determine user requirements for a set of features
Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight
Creates and implements code for a product, service, or feature, reusing code as applicable
Contributes to efforts to break down larger work items into smaller work items and provides estimation
Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems
Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
2+ years of professional experience in cloud service development using one or more of these technologies: Server-side languages (e.g., Java, C#, Python, Go, or Node.js), REST/gRPC APIs, databases (SQL or NoSQL), and cloud infrastructures
1+ year(s) of demonstrated problem-solving, design, and debugging skills, with a passion for quality, performance, and engineering excellence
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
Nice to have:
Experience with cloud-native architecture, microservices, and asynchronous workflows
Experience with agent-based systems, workflow engines, or declarative programming models is highly desirable
Experience with AI-assisted coding tools (e.g., GitHub Copilot) and large language models (LLMs) such as GPT or Claude Sonnet
Experience collaborating closely with product and design to shape abstractions and reference implementations that scale across use cases