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.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

• 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.

Required Qualifications:

• 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.

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:

• 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.

#ENGANZ

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.