Senior Cloud Engineer

At GE Appliances, a Haier company, we come together to make “good things, for life.” As the fastest-growing appliance company in the U.S., we’re powered by creators, thinkers and makers who believe that anything is possible and that there’s always a better way. We believe in the power of our people and in giving them the freedom to explore, discover and build good things, together.

The GE Appliances philosophy, backed by three simple commitments defines the way we work, invent, create, do business, and serve our communities:
* we come together*,
* we always look for a better way*, and
* we create possibilities*.

Interested in joining us on our journey?

We are seeking a Senior Cloud Engineer to design, build, and maintain secure, scalable cloud infrastructure supporting enterprise platforms and services. In this role, you will implement automated landing zones, optimize performance and reliability, and ensure environments align with governance and security standards. You’ll collaborate with architects, security, and application teams to deliver cloud solutions that enable modernization and operational excellence.

Senior Cloud Engineer

USA, Louisville, KY

• Deliver new infrastructure capabilities and environments that enable enterprise workloads.
• Architect, provision, and configure secure, compliant, and scalable infrastructure to support Dev Ops and application teams.
• Implement observability practices to ensure system reliability, performance, and cost optimization.
• Collaborate with security, compliance, and development teams to define access controls, networking, and permissions aligned to governance policies.
• Drive an automation-first and policy-as-code approach to infrastructure provisioning and configuration management.
• Maintain reusable Infrastructure-as-Code (IaC) modules and documentation to support consistent environment provisioning.
• Design and implement reusable infrastructure patterns for high availability, monitoring, disaster recovery, and capacity planning.
• Partner with cross-functional teams to deliver infrastructure components rapidly, enabling continuous delivery workflows.
• Lead or contribute to incident response, root cause analysis, and proactive environment improvement efforts.
• Ensure system availability, uptime, patch management, and disaster recovery readiness in line with business objectives.

• Bachelor’s degree in Information Technology, Computer Science, or related field or 5+ years of experience in cloud infrastructure, platform engineering, or systems administration in lieu of a degree.
• 2+ years of experience managing large-scale cloud or hybrid infrastructure environments.
• Familiarity with commonly used programming and scripting languages.
• Proficient with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP), with at least one associate-level certification (e.g., AWS Sys Ops, Solutions Architect).
• Experience supporting infrastructure for distributed or data-intensive platforms.
• Understanding of systems design methodologies including requirements gathering, process modeling, and logical and physical architecture planning.
• Familiarity with Infrastructure Change Management, Release Management, and Version Control Systems, including exposure to CI/CD tools for infrastructure pipelines.
• Experience with performance tuning at the platform or system level (e.g., networking, storage, OS).
• Experience with IT automation tools such as Ansible, Jenkins, or Terraform.
• Understanding of integration challenges between cloud platforms and on-premises services.
• Strong analytical and problem-solving skills with the ability to identify and mitigate infrastructure-related risks.
• Excellent collaboration, documentation, and communication skills across global, cross-functional teams.
• Understanding of Fin Ops or cloud cost-optimization principles.

• Experience with Unix/Linux system administration and common tools (e.g., shell scripting, SSH, sed/awk).
• Previous experience with cloud networking.
• Experience designing or supporting cloud infrastructure for AI/ML workloads.
• Famil…