Source-listed Job

Software Engineering IC2

Design, develop, test, deploy, and operate secure and scalable cloud services and APIs with guidance on larger design decisions. Own features end to end, from technical design and implementation through deployment and production s...

Job Source description available
Microsoft Redmond, WA,US, US Source published Oct 20, 2026 Source retrieved Oct 21, 2026
Source: Microsoft Opportunities · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
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Software Engineering IC2 opportunity at Microsoft
DeadlineSun Apr 18 9:35 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

Design, develop, test, deploy, and operate secure and scalable cloud services and APIs with guidance on larger design decisions. Own features end to end, from technical design and implementation through deployment and production support. Build reliable solutions involving APIs, data processing, authentication and authorization, and asynchronous workflows. Write high quality, maintainable, well-tested code and contribute to unit, integration, and automated test coverage. Implement authentication, authorization, data synchronization, and asynchronous processing logic that correctly handles retries, failures, and edge cases. Add telemetry, logging, and alerts to the features you build, and use them to monitor service health and diagnose issues. Participate in on-call rotation, live-site support and Investigate production issues and contribute to service reliability and operational improveme

Full job description

Full Job Description

Design, develop, test, deploy, and operate secure and scalable cloud services and APIs with guidance on larger design decisions. Own features end to end, from technical design and implementation through deployment and production support. Build reliable solutions involving APIs, data processing, authentication and authorization, and asynchronous workflows. Write high quality, maintainable, well-tested code and contribute to unit, integration, and automated test coverage. Implement authentication, authorization, data synchronization, and asynchronous processing logic that correctly handles retries, failures, and edge cases. Add telemetry, logging, and alerts to the features you build, and use them to monitor service health and diagnose issues. Participate in on-call rotation, live-site support and Investigate production issues and contribute to service reliability and operational improvements. Participate in design reviews and code reviews, incorporating feedback, and contributing to engineering quality. Collaborate with engineers, program managers, and partner teams to clarify requirements and deliver working solutions. Learn and apply team engineering standards, security and compliance practices, and responsible use of approved AI-assisted development tools. Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. These requirements include but are not limited to the following specialized security screenings: Bachelor's degree in Computer Science or a related technical field AND 1+ year of technical engineering experience with coding in languages such as C#, C++, Java, JavaScript, or Python. OR a Master's degree in Computer Science or a related technical field. OR equivalent experience. Experience developing, testing, and debugging software in a professional or production environment. Solid understanding of computer science fundamentals, including data structures, algorithms, and object-oriented design. Ability to learn new technologies quickly and take defined tasks to completion with appropriate guidance. Good communication and collaboration skills in a team environment. C#. .NET. Experience designing and building REST APIs, microservices, or distributed systems. Experience with Azure or comparable cloud platforms. Problem-solving, debugging, and software design skills. Familiarity with relational or NoSQL databases, and messaging or queueing systems. Experience working with cloud-native architectures, containers, or Kubernetes. Experience with source control (Git), CI/CD pipelines, automation, and DevOps practices. Exposure to monitoring, telemetry, or live-site operations. Experience leveraging AI tools to improve engineering productivity and operational efficiency. Communication skills and ability to collaborate effectively across teams.

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