Software Engineering Manager

Primary Responsibilities

• Define and execute the strategic direction for all software engineering initiatives in alignment with business goals.
• Build, mentor, and lead high-performing engineering teams, fostering collaboration, accountability, and professional growth to deliver complex software solutions at scale
• Lead software architecture, solution design, and integration of enterprise applications across business units.
• Oversee project delivery, timelines, and performance metrics to ensure successful outcomes.
• Foster a culture of innovation, quality, and continuous improvement within the engineering organization.
• Collaborate with senior leadership to guide technology investment and resource allocation.
• Support both production and corporate initiatives with scalable, high-impact digital solutions.
• Supervising direct reports is a key responsibility of this job.
• Perform other duties as assigned.

Position Requirements

• Bachelor’s in Computer Science, Software Engineering, or a related field is required.
• Minimum of 8 years of experience in software or solutions development is required.
• Minimum of 5 years in a leadership capacity is preferred.
• Proven success leading teams in the delivery of enterprise-scale applications or AEC technology platforms.
• Microsoft Azure Developer Associate certification is preferred.
• Microsoft Azure Solutions Architect Expert certification is preferred.
• Certified Scrum Master, CSM certification is preferred.
• PMI Agile Certified Practitioner, PMI-ACP certification is preferred.
• Microsoft Azure AI Engineer Associate certification is preferred.
• Microsoft DevOps Engineer Expert certification is preferred.
• Technology Skills:
• Modern software development methodologies
• Application debugging and troubleshooting
• Code review
• Secure coding practices
• Software documentation standards
• Proficiency in one or more of the following: .NET/C#, Python, JavaScript, React, Node.js, REST APIs, or SQL
• Microsoft Azure
• SQL Server
• GitHub
• Demonstrated ability to integrate AI-enabled applications leveraging platforms like Azure or AWS environments