Principal Engineer, Software Quality & Engineering Governance

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.

The Principal Engineer, Software Quality & Engineering Governance is responsible for establishing and governing enterprise software engineering standards, code quality practices, architecture review processes, and AI-assisted software development controls across the organization. 

This role serves as the technical authority for software quality and engineering excellence, ensuring all software solutions, whether developed by internal teams, external partners, or AI-assisted development tools, meet enterprise standards for security, maintainability, scalability, performance, reliability, and reusability. 

The individual will develop governance frameworks, automated quality gates, technical guardrails, review processes, and engineering best practices that enable rapid delivery while maintaining technical excellence. This role is expected to influence engineering teams across multiple technology stacks including Python, .NET, SAP, cloud-native applications, integrations, APIs, and emerging AI-enabled solutions. 

Key Responsibilities 

Engineering Standards & Governance 

• Establish and maintain enterprise-wide software engineering standards, development practices, and technical governance frameworks. 

• Define coding standards, design principles, architecture patterns, documentation requirements, and development lifecycle controls. 

• Create and maintain reusable development frameworks, templates, libraries, and reference architectures. 

• Drive consistency in software engineering practices across global development teams. 

Code Quality & Review Leadership 

• Serve as the enterprise authority for software quality and code review practices. 

• Review critical applications, architectural decisions, and high-impact development initiatives. 

• Ensure application code aligns with functional requirements, design standards, maintainability expectations, and enterprise architecture principles. 

• Establish processes for code certification, production readiness reviews, and technical quality assessments. 

AI-Assisted Development Governance 

• Define governance standards for AI-generated software artifacts. 

• Establish review, validation, approval, and traceability processes for AI-assisted code development. 

• Ensure AI-generated solutions comply with enterprise security, quality, regulatory, and maintainability requirements. 

• Develop policies and controls for the responsible adoption of AI development tools. 

DevSecOps & Quality Gates 

• Partner with development teams to implement automated quality controls throughout the software delivery lifecycle. 

• Define and monitor quality metrics including:  

• Code coverage 

• Technical debt 

• Code complexity 

• Security vulnerabilities 

• Performance benchmarks 

• Reliability measures 

• Defect escape rates 

• Establish automated CI/CD quality gates to improve consistency and reduce delivery risk. 

Architecture & Technical Design Reviews 

• Lead architecture and technical design reviews for strategic initiatives. 

• Evaluate software solutions for scalability, extensibility, resilience, security, and operational supportability. 

• Ensure alignment with enterprise architecture standards and technology roadmaps. 

• Identify opportunities to reduce technical debt and improve overall platform quality. 

Performance Engineering 

• Define performance engineering standards and optimization practices. 

• Review applications for efficient resource utilization, scalability, throughput, latency, and operational efficiency. 

• Establish benchmarks and acceptance criteria for application performance across multiple technology platforms. 

Engineering Excellence Enablement 

• Mentor software engineers, architects, technical leads, and development managers. 

• Promote a culture of engineering excellence through coaching, training, and community leadership. 

• Enable development teams through automation, self-service tooling, standards, and reusable assets rather than manual governance processes. 

• Drive continuous improvement initiatives that improve software quality while accelerating delivery. 

Required Qualifications 

• H.S. Diploma/GED
• 10+ years of software engineering experience. 

• 5+ years leading architecture, software quality, engineering governance, or technical review functions.  

Preferred Qualifications 

• Bachelor's degree in Computer Science, Software Engineering, Information Systems. 
• Experience governing AI-assisted software development and generative AI coding platforms. 

• Experience with Python, .NET, Java, JavaScript/TypeScript, cloud technologies, and enterprise integrations. 

• Experience with SonarQube, GitHub, Azure DevOps, Jenkins, GitLab, or comparable engineering platforms. 

• Experience implementing engineering scorecards, technical debt programs, and software quality frameworks. 

• Knowledge of enterprise architecture frameworks and modern platform engineering practices. 

• Experience leading global engineering transformation initiatives. 

• Deep hands-on experience reviewing and governing software development across multiple technology stacks. 

• Experience establishing software development standards, governance models, and engineering best practices. 

• Strong understanding of:  

• Software architecture 

• Design patterns 

• Secure coding practices 

• DevSecOps 

• CI/CD pipelines 

• Cloud-native application development 

• API and integration architecture 

• Automated testing strategies 

• Performance engineering 

• Experience operating in large-scale enterprise environments. 

Please click on the link to review the Job Applicant Privacy Notice.

Technology-enabled tools may support parts of the recruitment process, with oversight by people.