This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Developers are working hard to build our new reality, and the Azure Experience & Ecosystems Engineering team is here to help. 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 Senior Software Engineer 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 feature
Supports identification of dependencies, and the development of design documents for a product feature with oversight
With guidance, learns to create and implement code for a product, service, or feature reusing code as applicable
Assists and learns about breaking down work items into tasks and provides estimation
Acts as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook
Reviews current developments and proactively seeks new knowledge 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 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python - OR equivalent experience
4+ 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
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
Proficiency with agent-based systems, workflow engines, or declarative programming models is highly desirable
Demonstrated ability 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