Establish and drive best practices for the use of Windows Installer, InstallShield, and other installation and deployment technologies.
Guide the development and maintenance of installation tools, automation, and scripts using C#, C++, PowerShell, Bash, and other appropriate technologies.
Drive the effective adoption of AI-assisted development tools and practices to improve developer productivity, code quality, testing, troubleshooting, documentation, and deployment automation.
Establish appropriate practices for reviewing and validating AI-generated code and recommendations, ensuring solutions meet engineering standards for security, reliability, maintainability, performance, and intellectual property considerations.
Collaborate with architecture, development, quality assurance, DevOps, security, product management, and other cross-functional teams to define and evolve installation and deployment requirements, architecture, and standards.
Integrate and continuously improve installation and deployment processes within version control systems such as Git and Perforce and automated CI/CD pipelines.
Apply Agile development principles and engineering practices to deliver high-quality solutions predictably and efficiently.
Evaluate emerging technologies, including AI-enabled development and automation capabilities, and provide strategic recommendations on tools, architectures, and engineering process improvements.
What You'll Need
12-15 years of proven experience leading and managing software development teams, including coaching, mentoring, performance management, and technical leadership.
In-depth knowledge of Windows and Linux operating systems, including software installation, configuration, and deployment concepts.
Strong hands-on experience with container technologies, such as Docker and Kubernetes.
Extensive experience with Windows Installer, InstallShield, or comparable enterprise installation technologies.
Proficiency in C#, C++, PowerShell, and Bash, with the ability to provide technical guidance and conduct effective design and code reviews.
Demonstrated ability to use or rapidly adopt AI-assisted software development tools to improve development, testing, debugging, troubleshooting, code review, documentation, and engineering productivity.
Strong understanding of modern software engineering practices, CI/CD, build and release automation, and DevOps principles.
Solid understanding of Agile software development methodologies and experience leading teams within an Agile development environment.
Experience with version control and software configuration management systems, including Git and Perforce.
Strong problem-solving, analytical, and troubleshooting abilities, particularly for complex cross-platform installation and deployment issues.
Excellent leadership, communication, collaboration, and stakeholder-management skills, with the ability to work effectively across technical and non-technical organizations.
Preferred Qualifications
Experience modernizing legacy installation technologies and transitioning products toward containerized or cloud-native deployment models.
Experience establishing or promoting responsible AI-assisted development practices within an engineering organization.
Demonstrated ability to evaluate emerging engineering technologies and translate them into measurable improvements in developer productivity, software quality, and customer experience.
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