Sr. Solution Developer

About the Role

LMC is seeking an AI-enabled Application Developer who thrives in a collaborative, fast-moving environment and enjoys taking ideas from concept to production. The role is a good fit for a versatile developer who is comfortable working across both modern and legacy technologies while embracing emerging AI-assisted development practices. The ideal candidate is equally comfortable discussing requirements with a Business Analyst, designing a solution architecture, writing SQL, building a Power App, developing a .NET application, leveraging AI tools to accelerate delivery, and supporting the final solution in production. They are curious, pragmatic, highly adaptable, and excited about the future of AI-assisted software development.

What You'll Do

• Business Analysis & Solution Design
  • Partner with Business Analysts and stakeholders to clarify business requirements and translate them into technical solutions.
  • Create technical specifications, solution designs, data models, and workflow diagrams.
  • Participate in solution architecture discussions focused on scalability, maintainability, security, and long-term supportability.
  • Estimate development effort and identify technical risks early in the process.
• Rapid Prototyping
  • Quickly transform business concepts into working prototypes to validate requirements and accelerate feedback.
  • Apply specification-driven development practices to move efficiently from concept through deployment.
  • Validate AI-generated outputs with sound engineering judgment, secure coding practices, and appropriate testing.
• Software Development
  • Design and support solutions using coding languages like C#, Python, JavaScript, etc. that work with applications within the Microsoft Power Platform (Power Apps, Power Automate, Dynamics 365, and SharePoint).
  • Maintain, modernize, and extend existing legacy applications, including legacy VB and VB.NET solutions.
  • Build integrations between internal and external systems using REST APIs.
  • Support reporting and analytics initiatives using MSSQL Server, Power BI, and SSRS.
  • Produce clean, maintainable, and well-documented code.
• Testing, Deployment & Support
  • Develop automated testing as a standard part of the development lifecycle.
  • Create unit, integration, regression, and deployment validation tests.
  • Participate in code reviews and technical design reviews.
  • Support CI/CD and deployment activities.
  • Provide ongoing support and troubleshooting for production applications.
  • Create and maintain technical documentation.

Required Qualifications

• Bachelor's Degree in Technology, Computer Science, or other related field or equivalent experience required.
• 3+ years of professional software development experience.
• Experience working directly with Business Analysts and business stakeholders with varying levels of technical expertise.
• Experience delivering solutions throughout the full Software Development Lifecycle (SDLC).
• Experience working within a small, collaborative IT organization where flexibility and ownership are expected.
• Strong experience with C#, .NET Framework and/or .NET, VB.NET, Microsoft SQL Server, T-SQL, Visual Studio and/or Visual Studio Code, Git source control, and REST APIs.
• Demonstrated experience with AI development tools, including GitHub Copilot, Claude, Microsoft Copilot, and similar tools with ability to evaluate emerging AI capabilities.
• Ability to effectively use AI throughout the software development process while applying sound engineering judgment and validation of AI-generated outputs.
• Working knowledge of Python, JavaScript, and Power Platform technologies.
• Experience with one or more of: Power Apps, Power Automate, Power BI, Dataverse, Dynamics 365, SharePoint, and Azure services.
• Experience with ERP, finance, purchasing, rebate, distribution, or supply-chain systems.
• Familiarity with Azure DevOps and CI/CD pipelines.
• Strong problem-solving and analytical abilities.
• Excellent written and verbal communication skills.
• Ability to balance multiple priorities.
• Comfortable working independently and collaboratively.
• Strong customer-service mindset.
• Ability to explain technical concepts to non-technical audiences.