Senior Software Engineer - WMS Integration and Reporting

5+ years of hands-on experience developing applications using .NET technologies (C#, Restful APIs, Net Services), Python, including background service patterns and building responsive web applications with Angular, React or Blazor. Experience with cloud platforms, Microsoft Azure or similar (App Services, Azure SQL, Azure Functions), including deployment, management, and monitoring of applications.

Required Qualifications

• Bachelor’s degree in computer science or a related analytical field or equivalent experience
• 5+ years of hands-on experience developing applications using .NET technologies (C#, .Restful APIs, .Net Services), Python, including background service patterns and building responsive web applications with Angular, React or Blazor
• 5+ years’ experience designing and implementing solutions using ASP.NET Core, including proficiency with API documentation tools such as Swagger/Open API
• 3+ years’ experience with Microsoft SQL Server and Entity Framework Core, including designing normalized schemas, writing complex queries, and optimizing database performance
• Experience with cloud platforms, Microsoft Azure or similar (App Services, Azure SQL, Azure Functions), including deployment, management, and monitoring of applications
• Advanced proficiency in source control and DevOps practices, including Git (branching, merging, pull requests) and designing and maintaining CI/CD pipelines using Azure DevOps
• Demonstrated ability to write clean, maintainable, and well-documented code, with strong problem-solving and debugging skills
• Experience working in Agile/Scrum environments with excellent communication skills and the ability to collaborate effectively with cross-functional teams
• Experience working with developer experience tools such as Github copilot, Claude code, M365 Copilot

Preferred Qualifications

• Experience with Spark declarative pipelines (Databricks declarative pipeline patterns; formerly DLT/Delta Live Tables) including expectations-style rules and incremental processing.
• Experience implementing DQE patterns: completeness/accuracy checks, anomaly detection, and data monitoring in data lake
• Proficient in designing, provisioning, and managing cloud infrastructure, preferably on Microsoft Azure, Kubernetes, utilizing Terraform modules and best practices
• Knowledgeable in automated testing, build, and deployment strategies for .NET and containerized applications.
• Experience with Azure and GCP cloud platforms
• Skilled in supporting data and process governance of distribution system compliance in accordance with company policies, standards, and SOX requirements

 

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