Software Engineer 2 - Azure Ecosystems Engineering

Developers are working hard to build our new reality, and the Azure Experience & Ecosystems Engineering team is here to help. 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. 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: Hypertext Transfer Protocol (HTTP), Hypertext Markup Language (HTML), JavaScript, Cascading Style Sheets (CSS), .NET, Node.js, Representational State Transfer Application Programming Interfaces (REST APIs). 1+ year(s) of demonstrated problem-solving, design, and debugging skills, with a passion for quality, performance, and engineering excellence. 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.