IT Manager of Software Engineering

Inpro•Muskego, WI

22h

About The Position

We are seeking an experienced and dynamic Manager of Software Engineering to lead our software development team and drive the delivery of innovative, scalable technology solutions. This role combines hands-on technical leadership with people management responsibilities, ensuring the successful design, development, and deployment of high-quality software applications while fostering a collaborative and high-performing engineering culture. The ideal candidate is a strong technical leader with experience managing software engineering teams, guiding architecture decisions, and partnering with cross-functional stakeholders to deliver business value in a fast-paced environment.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent experience.
5+ years of professional software engineering experience.
2+ years of engineering leadership or people management experience.
Strong expertise in C#, .NET, and backend microservices architecture.
Solid understanding of SQL and relational database design.
Experience with CI/CD pipelines and DevOps tools such as Azure DevOps, Jenkins, or GitHub Actions.
Strong experience working within Agile environments utilizing Scrum or Kanban methodologies.
Experience designing scalable, secure, and maintainable software solutions.
Strong understanding of RESTful APIs and integration patterns.
Proficiency with Azure DevOps and Git version control systems.
Excellent analytical, problem-solving, organizational, and communication skills.
Experience leveraging AI tools to improve engineering productivity while maintaining compliance and security standards.

Nice To Haves

Experience with Salesforce development, including Apex, Lightning Web Components, and integrations.
Experience with NetSuite development and integrations, including SuiteScript and SuiteFlow.
Proficiency in Python for automation, scripting, or AI initiatives.
Experience with Microsoft Azure cloud technologies, including Azure Functions and cloud-based architectures.
Experience developing, implementing, or integrating AI/ML solutions and intelligent automation tools.
Experience leading distributed or hybrid engineering teams.

Responsibilities

Lead, mentor, and develop a team of software engineers through coaching, performance management, and career development initiatives.
Foster a culture of collaboration, innovation, accountability, and continuous improvement.
Support recruiting, onboarding, and retention efforts to build a strong engineering organization.
Establish clear goals, priorities, and performance expectations for team members.
Encourage ongoing learning and adoption of modern software development practices and technologies.
Oversee the design, development, testing, deployment, and maintenance of software applications and services.
Guide development of backend microservices using C# and .NET technologies.
Ensure adherence to best practices related to coding standards, architecture, security, testing, and documentation.
Manage project priorities, timelines, and resource allocation to ensure successful delivery.
Collaborate with technical leads and architects to create scalable and maintainable solutions.
Drive architectural discussions and contribute to long-term technology strategy.
Oversee database design, SQL optimization, and application performance improvements.
Lead implementation and enhancement of CI/CD pipelines and DevOps practices.
Promote Agile methodologies, including Scrum and Kanban frameworks.
Support RESTful API development, integrations, and microservices architecture.
Encourage responsible adoption of AI-powered development tools while maintaining intellectual property and data security standards.
Partner with business analysts, product managers, designers, and stakeholders to translate business requirements into technical solutions.
Communicate project status, risks, and delivery expectations to leadership and stakeholders.
Collaborate with infrastructure, security, and enterprise application teams to ensure alignment across systems and platforms.
Identify and address technical debt, system performance issues, and process inefficiencies.
Establish and monitor engineering metrics related to quality, reliability, delivery, and team performance.
Drive continuous improvement initiatives throughout the software development lifecycle.
Support incident management, root cause analysis, and production support activities as needed.