Sr. Infrastructure Engineer – Data Platforms (Python + Cloud)
Listed on General Mills’s official careers site. Posted September 22, 2026. Check that it is still open and apply there.
Apply on General Mills’s careers site →Job description
COMPANY
OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next. OVERVIEW Are you a cloud automation engineer who thrives in a fast-paced, multi-platform environment?
As a Senior Infrastructure Engineer on our Digital & Technology team, you will lead the design and deployment of infrastructure automation for enterprise-scale platforms. You will build Python automation and Terraform infrastructure-as-code patterns for public cloud environments, improve provisioning and lifecycle operations, and partner with platform and application teams in a 24/7 environment. This is your opportunity to shape cloud engineering at a Fortune 500 company.
KEY ACCOUNTABILITIES
Lead infrastructure automation and cloud deployment initiatives. Build Python automation for provisioning, configuration, validation, and operations. Develop reusable Terraform modules and infrastructure-as-code patterns. Deploy compute, networking, storage, security, and platform services. Build CI/CD workflows for Python and Terraform using GitHub Actions or equivalent tools. Implement secure, idempotent, and version-controlled infrastructure deployments.
Apply identity, secrets, tagging, governance, and cloud security controls. Add testing, drift detection, monitoring, and compliance checks for infrastructure code. Support cloud adoption and modernization on GCP or other public clouds. Create self-service workflows and documentation for safe cloud infrastructure consumption. Troubleshoot deployment failures and production issues in a 24/7 environment. Collaborate with platform, application, security, and operations teams within Agile.
MINIMUM QUALIFICATIONS
Experience: 9+ years designing, automating, and deploying infrastructure in enterprise or cloud environments.
Core Technical Skills
Strong Python; Terraform; infrastructure as code; and cloud engineering focused on infrastructure deployment.
Cloud Engineering
Experience deploying cloud compute, networking, storage, security, and platform services.
Automation Engineering
Experience building reusable, secure, idempotent, testable, version-controlled automation.
CI/CD and DevOps
Hands-on experience with Git, CI/CD pipelines, GitHub Actions or equivalent tools, and DevOps practices.
Cloud Governance
Experience with cloud security, IAM, governance, policy, tagging, and compliance controls.
Operating Systems
Strong Linux experience; Windows Server is beneficial.
Engineering Practices
Working knowledge of Agile delivery, code reviews, testing, documentation, monitoring, and POCs.
Soft Skills
Excellent communication and collaboration skills; flexible, reliable, self-starting, and able to influence across teams.
PREFERRED QUALIFICATIONS
Cloud Platform: GCP, AWS, Azure, or other public cloud experience; GCP preferred.
Automation Tooling
Ansible, GitHub Actions, Artifactory, Python testing frameworks, or similar tools.
Infrastructure Delivery
Self-service provisioning, CI/CD, and reusable platform patterns.
AI and Agent Development
Exposure to AI concepts and developing AI agents or agentic workflows for infrastructure operations and automation. ELIGIBILITY Applicants must meet minimum age qualifications in the country in which the job is located.
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