TheLead Cloud Engineeris a full-time role within Global IT part of the Platform Engineering team. This team operates at the intersection of cloud infrastructure automation DevOps 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 andoperatingmodern cloud platforms but also for helping modernizethesoftware delivery lifecycle (SDLC) and DevOps capabilities. The role will play a keypartin evolving how engineering teams build test deploy andoperatesoftware including the adoption of AI-augmented and agentic engineering practices.
The Lead Cloud Engineer will work across multiplehyperscalers-primarily AWS and Google Cloud-with a strong emphasis on Infrastructure as Code (Terraform) automation CI/CD DevOps best practices and AI-assisted development. This role serves as a technical leader within Platform Engineering and a trusted partnertoAgile fusion teams.
This position may be remote though candidates willing torelocateto or work from our Home Office in Green Bay WI are strongly preferred.
Relocation Benefits:Receive a $10000 relocation bonusPLUSa generous relocation package ifrelocatingmore than 50 miles for this position.
About our Green Bay WI Home Office:
Youllfind lots to love in our beautiful home office in downtown Green Bay Wisconsin. Our jeans-friendly environment has indoor and outdoor collaboration spacesstate-of-the-artR&D and sensory labs culinary kitchensa pilotplant innovation center and more.
Take advantage of outdoor workspaces. Sample and provide feedback on new products from our R&D team. Enjoy free coffeesodaand popcorn. Take a short walk to restaurants breweries theYMCAand a weeklyfarmersmarket on the scenic Fox River. You can even see Lambeau Field from our top floor.
WhatYoullDo:
Design build andoperatemodern cloud platform infrastructure across AWS and Google Cloud focusing on scalability security reliability and cost efficiency.
Lead the modernization of SDLC and DevOps 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 DevOps 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 GitHub Terraform and platform automation frameworks (ex:FlexDeployor 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; proactivelyidentifyand resolve issues.
Lead troubleshooting and root-cause analysis for complex cloud CI/CD and automation incidents.
Produce andmaintainhigh-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 DevOps cloud and AI fluency of the team.
Stay current with emerging cloud DevOps and AI technologies recommending and piloting improvements whereappropriate.
Whatyoullneed to succeed:
Bachelors degree in Computer Science Information Technology or a related field (or equivalent professional experience).
7 years of experience in cloud engineering DevOps 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 networkingcompute storage IAM and security services.
Proven experience designing andoperatingmodern CI/CD pipelines and DevOps workflows.
Strong AI fluency with hands-on experience using one or more AI-assisted development tools such asGitHub Copilot
Demonstrated ability to apply AI tools pragmatically to improve:
SDLC efficiency and quality
Developer experience
Automation and operational maturity
Solid understanding of cloud security principles identity and access management and enterprise best practices.
Experience supporting cloud-native architectures (serverless containers APIs event-driven systems).
Ability to work independently take ownership of complex initiatives and deliver high-impact results.
Preferred Skills and Experience
Experience building oroperatinginternal developer platforms (IDPs) and self-service infrastructure models.
Familiarity with monitoring logging and observability tooling (ex:Dynatrace CloudWatch SolarWinds).
Experience in large-scaleenterprisesor regulated environments.
Exposure to hybrid or private cloud scenarios.
Direct experience experimenting with or implementing AI-enabled or agentic automation in infrastructure or DevOps workflows.
Core Competencies
Technical Leadership: Able to influence architecture and standards throughexpertiseand collaboration.
DevOps Mindset: Strong focus on automation reliability and developer experience.
Innovation & Modernization Comfortable driving change including AI-assisted and agentic approaches.
Problem Solving: Comfortable diagnosing complex technical issues and driving them to resolution.
Collaboration: Effectivecommunicatoracross engineering operations and business stakeholders.
Adaptability: Thrives in fast-paced environments with evolving priorities.
For positions that require any amount of travel: Valid drivers license auto insurance (at least state minimum- more might be required) acceptable driving record per Schreiber Foods discretion and vehicle that will ensure applicant can meet the travel necessities of the position are required.
Schreiber requires that an employee have authorization to work in the country in which the role is the event an applicant does not have current work authorization Schreiber will determine in its sole discretion whether to sponsor an individual for work authorization. However based on immigration requirements not all roles are suitable for sponsorship.
An Equal Opportunity Employer all qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin or protected veteran status and will not be discriminated against on the basis of disability.
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Required Experience:
IC
Schreiber Foods strives to do good through food every day. Based in North America, we’re a customer-brand leader in cream cheese, natural cheese, process cheese, shelf-stable beverages and yogurt. Our more than 8,000 employees and presence on five continents enable us to be an essenti ... View more