Lead Cloud Engineer

Job Description: Global IT – Lead Cloud Engineer is a full-time role within Global IT, part of the Platform Engineering team. This team operates at the intersection of cloud infrastructure, automation, Dev Ops, and developer enablement, providing scalable, secure platform capabilities that accelerate digital product delivery.

Job Category: Global IT

Job Family: Software Development & Engineering

The Lead Cloud Engineer will work across multiple hyperscalers—primarily AWS and Google Cloud—with a strong emphasis on Infrastructure as Code (Terraform), automation, CI/CD, Dev Ops best practices, and AI-assisted development. This is a senior, hands-on technical leadership role responsible not only for designing and operating modern cloud platforms, but also for helping modernize the software delivery lifecycle (SDLC) and Dev Ops capabilities.

The role will play a key part in evolving how engineering teams build, test, deploy, and operate software, including the adoption of AI-augmented and agentic engineering practices. This position may be remote, though candidates willing to relocate to or work from our Home Office in Green Bay, WI are strongly preferred.

• Design, build, and operate modern cloud platform infrastructure across AWS and Google Cloud, focusing on scalability, security, reliability, and cost efficiency.
• Lead the modernization of SDLC and Dev Ops practices, including improving CI/CD pipelines, deployment strategies, and environment automation; reducing friction in developer workflows; increasing deployment frequency, reliability, and observability.
• Incorporate AI-assisted and agentic capabilities into the SDLC, exploring and operationalizing how AI agents and copilots can improve infrastructure-as-code development, CI/CD pipeline creation and maintenance, code quality, testing, documentation, and operational runbooks, developer productivity, and platform self-service.
• Lead and contribute to Infrastructure as Code (IaC) implementations using Terraform, including module design, versioning strategies, and best practices.
• Define and evolve platform engineering and Dev Ops standards, patterns, and reusable components that enable rapid, safe application delivery.
• Build and improve automated CI/CD and infrastructure deployment pipelines using tools such as Git Hub, Terraform, and platform automation frameworks (e.g., Flex Deploy or equivalent).
• Enable and support cloud-native architectures, including serverless, containerized, API-driven, and event-based systems.
• Partner closely with Agile fusion teams, software engineers, and IT stakeholders to understand delivery challenges and provide platform solutions that remove friction.
• Monitor platform health, performance, security, and cost; proactively identify and resolve issues; lead troubleshooting and root-cause analysis for complex cloud, CI/CD, and automation incidents.
• Produce and maintain high-quality technical documentation, architectural artifacts, and internal developer platform content.
• Participate in and lead code reviews, design discussions, and architectural decision-making; mentor and coach engineers to raise Dev Ops, cloud, and AI fluency.
• Stay current with emerging cloud, Dev Ops, and AI technologies, recommending and piloting improvements where appropriate.

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent professional experience).
• 7+ years of experience in cloud engineering, Dev Ops, platform engineering, or infrastructure automation roles.
• Strong hands-on experience with Infrastructure as Code, particularly Terraform, managing production-scale environments.
• Deep experience with AWS and Google Cloud Platform, including networking, compute, storage, IAM, and security services.
• Proven experience designing and operating modern CI/CD pipelines and Dev Ops workflows.
• Strong AI fluency, with hands-on experience using one or more AI-assisted development tools, such as Git Hub Copilot.
• Demonstrated ability to apply AI tools pragmatically to improve SDLC efficiency and quality, developer experience, and automation/operational maturity.
• Solid understanding of cloud…