Software Development Engineer– Applications Development & Test

Job Title : Software Development Engineer– Applications Development & Test
Duration: 6+ Months
Rate: $80-82/hr on Vendor W2
Location: Fully Remote –
Preferred Location: Pacific Time Zone candidates preferred; however, candidates from any U.S. time zone will be considered

Role Overview
The team is responsible for taking industrial controls data, refining and standardizing it, and moving it into the cloud so partner teams can leverage it for automation, reporting, predictive analytics, and other business initiatives.
This Software Development Engineer will focus on building automation solutions, enhancing existing systems, and modernizing industrial controls and telemetry data processes using AI/ML capabilities and modern software engineering practices.
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Key Responsibilities
• Design, develop, test, and maintain software solutions supporting industrial telemetry workflows
• Build and maintain C#/.NET automation tooling, including console applications and Worker Services
• Develop solutions that transform Excel-based device templates into CSV/configuration outputs
• Build and enhance machine learning classification models to automate telemetry tag-to-template mapping
• Apply feature engineering techniques to historical datasets to improve automation accuracy
• Validate telemetry data using Azure IoT, Event Hub, and Kusto/KQL
• Troubleshoot and resolve issues across development and production environments
• Support the full software development lifecycle:
o Requirements gathering
o Design
o Development
o Testing
o Deployment
o Documentation
• Contribute to AI enablement initiatives, including Copilot/MCP-style agent patterns
• Mentor team members and maintain strong engineering documentation
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Ideal Candidate Profile
The ideal candidate is a mid-to-senior Software Engineer (5–7 years of experience) with strong C#/.NET development skills and applied machine learning experience.
Candidates should have:
• Strong software engineering fundamentals with experience building production-ready applications
• Advanced C#/.NET experience (ideally .NET 10) and Visual Studio proficiency
• Experience developing console applications and Worker Services
• Applied ML experience using tools such as:
o ML.NET
o Scikit-learn
o Embedding-based approaches
• Experience with classification models, feature engineering, and working with large historical datasets
• Python experience for ML prototyping
• Ability to productionize solutions within a C#/.NET environment
• Experience validating data pipelines using Azure services
• Strong communication skills and ability to work independently
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Top Required Skills
1. C#/.NET Software Development – 5+ years
• Strong C#/.NET development experience
• Building production applications, automation tools, console applications, and Worker Services
• Experience with Visual Studio and software development lifecycle
2. Applied Machine Learning / Classification – 3+ years
• Hands-on experience developing classification models
• Experience with:
o ML.NET
o Scikit-learn
o Embeddings
• Feature engineering and model evaluation experience
• Ability to apply ML to real-world automation challenges
3. Azure Telemetry / Data Engineering – 3+ years
Experience with:
• Azure IoT
• Event Hub
• Kusto/KQL
• Data validation and telemetry workflows
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Nice-to-Have Skills
• Industrial control systems experience
• Automation development background
• AI/ML enablement experience
• MLOps experience (Azure DevOps/Azure deployment workflows)
• Microsoft Copilot or MCP-style agent familiarity
• Process improvement experience
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Candidate Considerations
Ideal Background:
• Software engineering-focused candidate who uses ML as an enhancement to automation—not someone focused solely on research/data science
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Why Candidates Would Be Interested
Build AI-powered automation solutions that modernize telemetry across Microsoft’s global datacenter fleet. This role offers the opportunity to own an applied machine learning problem end-to-end while working on a modern C#/.NET platform that directly impacts large-scale infrastructure.
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Performance Measurement
Success will be measured by:
• Reduction in manual onboarding effort through automation
• Improved telemetry tag classification accuracy
• Increased automation coverage and reduced manual cleanup
• Delivery of high-quality, maintainable C#/.NET solutions
• Completion of ADO work items and engineering milestones
• Strong documentation and knowledge transfer
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Interview Process
• Approximately three interview rounds:
o Sponsor
o Hiring manager
o Team members
• Interviews conducted via Microsoft Teams phone call (no video required per external staff policy)
• No specific interview preparation required

Interested candidates send your resume to alex@amtexenterprises.com