Lead Cloud Engineer
Green Bay, Brown County, Wisconsin, 54311, USA
Listed on 2026-02-28
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IT/Tech
Systems Engineer, Cloud Computing
Job Category: Global IT Job Family: Software Development & Engineering Job Description:
The 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.
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.
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 role serves as a technical leader within Platform Engineering and a trusted partner to Agile fusion teams.
This position may be remote, though candidates willing to relocate to or work from our Home Office in Green Bay, WI are strongly preferred.
Relocation Benefits: Receive a $10,000 relocation bonus PLUS a generous relocation package if relocating more than 50 miles for this position.
About our Green Bay, WI Home Office:You’ll find lots to love in our beautiful home office in downtown Green Bay, Wisconsin. Our jeans‑friendly environment has indoor and outdoor collaboration spaces, state‑of‑the‑art R&D and sensory labs, culinary kitchens, a pilot plant, innovation center and more.
Take advantage of outdoor work spaces. Sample and provide feedback on new products from our R&D team. Enjoy free coffee, soda and popcorn. Take a short walk to restaurants, breweries, the YMCA and a weekly farmer’s market on the scenic Fox River. You can even see Lambeau Field from our top floor.
What Y ou'll D o: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 (ex: 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, helping raise the overall Dev Ops, cloud, and AI fluency of the team.
Stay current with emerging cloud, Dev Ops, and AI technologies, recommending and piloting improvements where appropriate.
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