Software Development Engineer

Microsoft is seeking a highly skilled and motivated software engineer to join a team focused on transforming industrial controls data into standardized, cloud-ready telemetry. The role involves building and maintaining C#/.NET automation tooling for telemetry onboarding workflows and applying machine learning to enhance automation processes.

Responsibilities:

• Design, develop, test, and deliver C#/.NET console applications and Worker Services that convert Excel-based device templates into CSV and configuration outputs for the telemetry pipeline
• Train, evaluate, and continuously refine a machine learning classification model that maps telemetry tags to template fields using historical taglist data
• Perform feature engineering on messy historical taglists and assess model accuracy to drive automation quality improvements
• Validate telemetry data end-to-end using Azure IoT, Event Hub, and Kusto/KQL to ensure data is clean and correctly mapped
• Maintain and enhance legacy systems while modernizing industrial controls and telemetry data processes
• Contribute to the team's AI-enablement direction, including Copilot and MCP-style agent patterns
• Own the full software development lifecycle: requirements gathering, functional specification authoring, development, testing, and delivery
• Troubleshoot and resolve pipeline and tooling issues independently rather than escalating or handing off
• Document all work thoroughly to ensure maintainability and knowledge transfer across the team
• Mentor teammates and promote consistent use of the team's single C#/.NET stack
• Collaborate with cross-functional partner teams to understand data consumption needs and align tooling outputs accordingly
• Identify and implement process improvements that increase efficiency and reduce manual effort in the telemetry onboarding workflow

Requirements:

• 5 or more years of professional C#/.NET software development experience building and shipping production tooling
• 3 or more years of applied machine learning or classification model development experience
• 3 or more years of hands-on experience with Azure data-plane and telemetry technologies including Azure IoT, Event Hub, and Kusto/KQL
• Demonstrated experience with process improvement and automation in an engineering context
• Bachelor's degree in Computer Science, Software Engineering, or a closely related field required
• Citizenship attestation with an active U.S. passport required
• Cloud attestation required
• Deep proficiency in C# and .NET (ideally .NET 10) including Visual Studio and production-ready coding practices
• Hands-on experience building and deploying text or tabular classification models using ML.NET, scikit-learn, or embedding-based approaches
• Practical fluency with Azure IoT Hub, Azure Event Hub, and Kusto/KQL for telemetry validation and data-plane engineering
• Python prototyping skills for machine learning experimentation prior to porting logic into C#
• Strong understanding of the full software development lifecycle from analysis and requirements through testing and delivery
• Experience with industrial control systems and telemetry data pipelines
• Ability to work independently, manage time effectively, and drive tasks to completion without close supervision
• Strong verbal and written communication skills with the ability to document technical work clearly
• Problem-solving mindset with a demonstrated willingness to challenge and improve existing processes
• Mentoring skills sufficient to provide constructive feedback and support teammates' technical growth
• Knowledge of database management, SQL, and data description practices
• Experience working with industrial controls data or similar operational technology environments is strongly preferred
• Familiarity with AI-enablement patterns including Copilot integration and agent-style architectures