Manager of Software Engineering

My client, a Chattanooga-based equipment leasing and finance company, is looking for a Manager, Software Engineering to lead a small, mixed-stack engineering team (2 .NET developers and 1 Salesforce architect). In this role, you'll spend most of your time on people leadership - coaching, delivery, and stakeholder alignment - with about a quarter of your time on architecture and technical direction. Manager, Software Engineering Full time, direct hire Onsite in Chattanooga, TN Salary $150k

Responsibilities

• Lead, mentor, and develop a team of software engineers (2 .NET developers, 1 Salesforce architect), providing technical guidance, coaching, and professional development.
• Guide responsible adoption of AI-assisted development tools (coding, documentation, testing, workflow automation), ensuring outputs are reviewed and validated.
• Manage resource allocation, workload balancing, and delivery timelines across mixed .NET/Salesforce workstreams.
• Provide architectural guidance and technical direction on team projects (roughly 25% of the role).
• Ensure adherence to coding standards, best practices, and quality assurance through code reviews and technical leadership.
• Collaborate with stakeholders to define project scope, requirements, timelines, and deliverables.
• Manage project priorities, risks, issues, and escalations, ensuring timely resolution and delivery.
• Coordinate cross-training across the .NET and Salesforce sides of the team.
• Serve as liaison with external vendors and technology partners on select projects.
• Communicate technical concepts, project updates, risks, and recommendations to technical and non-technical audiences.Requirements
• Bachelor's degree in Computer Science or related field.
• 8+ years of software development experience in the .NET ecosystem
• Proven experience managing/leading an engineering team
• Strong experience with C#, .NET, JavaScript, Python, and/or Java.
• Experience with Agile development methodologies.
• Strong understanding of SDLC methodologies, software architecture, and modern engineering best practices.
• Working knowledge of AI-assisted development concepts (prompt engineering basics, model-assisted coding workflows, responsible AI governance).
• Nice-to-have (not required): Salesforce, Databricks, Azure Functions, Azure Web Services, Azure SQL Services, responsive web application development.