Cloud Senior Principal Engineer

University of North Carolina System; United States; Hybrid; USD 180,000 - 280,000; Full time

Job summary

The University of North Carolina System seeks a Cloud Senior Principal Engineer to serve as the highest-level technical contributor and engineering leader for cloud platforms, AI solutions, enterprise applications, and digital transformation initiatives. The role establishes engineering standards, leads complex, enterprise-wide solutions, and acts as the primary technical advisor on emerging technologies.

This is a hybrid role, requiring on-site presence in Raleigh several days a week and close

Qualifications

• Master's degree or equivalent with 2-4 years' experience, or Bachelor's with 3-5 years' experience.
• Progressive IT experience including technology support and enterprise initiatives.
• Experience designing and governing enterprise cloud solutions.

Responsibilities

• Provide strategic technical direction for cloud, AI, and enterprise platform initiatives.
• Lead architecture governance, standards, and best practices across multiple domains.
• Mentor and grow Cloud, AI, and engineering teams; drive modernization and platform engineering.
• Collaborate with executives and stakeholders to translate strategy into scalable solutions.
• Ensure security, governance, and risk management across cloud architectures.

Skills

Cloud architecture

Platform engineering

AI governance

Technical leadership

Strategic planning

Executive communication

Education

Master's degree

Bachelor's degree

Tools

AWS

AWS CDK

CloudFormation

Terraform

Bedrock

OpenAI

Anthropic

Job description

The Cloud Senior Principal Engineer serves as the organization's highest-level technical contributor and engineering leader for cloud platforms, artificial intelligence solutions, enterprise applications, and digital transformation initiatives. This position provides strategic technical direction, establishes engineering standards and architecture practices, and leads the design and implementation of complex, enterprise-wide technology solutions. The Senior Principal Engineer oversees the technical work of Cloud and AI Engineering team while fostering a culture of innovation, engineering excellence, and continuous improvement. The role serves as the primary technical advisor for emerging technologies, cloud architecture, AI strategy, enterprise platform modernization, and system-wide digital initiatives.

Working closely with executive leadership, business stakeholders, and technology teams, the Senior Principal Engineer translates strategic objectives into scalable, secure, and sustainable technical solutions. This position maintains deep technical expertise while providing mentorship, architectural governance, and leadership across multiple technology domains including cloud computing, artificial intelligence, application development, enterprise integration, cybersecurity, and platform engineering.

This position is a hybrid work arrangement and will work at least three days per week onsite at the Dillon building in downtown Raleigh's Warehouse District. UNC System employees are generally required to reside in North Carolina, within a 2-hour commuting distance of their assigned duty station.

Minimum Education, Experience, and Skills

Masters' and 2-4 years' experience; or Bachelors and 3-5 years' experience; or will accept a combination of related education and experience in substitution.

Minimum of three years of progressive experience in the information technology field including experience in technology support related, or an equivalent combination of education and experience.

Preferred Education, Experience, and Skills

Cloud Architecture & Platform Engineering: Demonstrated expertise designing, implementing, and governing enterprise-scale cloud solutions utilizing AWS services and modern cloud-native architectures. Experience establishing cloud engineering standards, Infrastructure as Code (AWS CDK, CloudFormation, Terraform), multi-account governance, platform engineering practices, and operational excellence frameworks. Experience leading cloud center-of-excellence (CCoE), platform engineering, or digital transformation initiatives is preferred.

Artificial Intelligence & Emerging Technologies: Demonstrated experience evaluating, designing, and implementing enterprise AI solutions that support organizational objectives. Knowledge of generative AI technologies, large language models (LLMs), intelligent automation, retrieval-augmented generation (RAG), and AI governance principles. Experience with Amazon Bedrock, OpenAI, Anthropic, or similar enterprise AI platforms is highly desirable. Ability to assess emerging technologies and translate innovation into practical business solutions.

Enterprise Application & Solution Architecture: Experience architecting complex enterprise systems, cloud-native applications, APIs, integrations, and shared technology platforms. Ability to align technical architecture with business objectives while ensuring scalability, maintainability, security, and performance. Knowledge of modern software engineering practices, application modernization strategies, and enterprise integration patterns.

Technical Leadership & Engineering Excellence: Proven ability to provide technical leadership across multidisciplinary engineering teams, establish engineering standards, conduct architecture and code reviews, and mentor technical staff. Experience managing or leading teams consisting of cloud engineers, software developers, architects, AI specialists, and other technical professionals. Ability to foster a culture of innovation, collaboration, accountability, and continuous improvement.

Strategic Planning & Digital Transformation: Ability to develop and execute technology roadmaps that support enterprise modernization and digital transformation goals. Experience leading large-scale technology initiatives, evaluating technology investments, and guiding organizations through complex technical change. Experience within higher education, state government, public sector, or similarly complex enterprise environments is preferred.

Security, Governance & Risk Management: Strong understanding of cloud security architecture, identity and access management, compliance requirements, governance frameworks, and risk mitigation strategies. Experience implementing security controls and governance processes that balance innovation, operational efficiency, and organizational compliance requirements.

Communication & Stakeholder Engagement: Exceptional ability to communicate complex technical concepts to executive leadership, business stakeholders, and technical teams. Experience building consensus, influencing strategic decisions, facilitating cross-functional collaboration, and serving as a trusted advisor on technology-related matters.

Innovation & Continuous Improvement: Demonstrated commitment to continuous learning, technology evaluation, and organizational innovation. Ability to identify opportunities for process improvement, automation, AI adoption, and platform modernization that increase efficiency, enhance user experiences, and support organizational objectives.