Drimva

Marriott Vacations Worldwide

Sr Cloud Engineer

MVW Headquarters · Senior · Full-time · Posted Aug 31, 2026

Experience
7+ years in an IT engineering, administration, or architecture role, including 5+ years in automation and IaC; 4+ years in a major public cloud and exposure to a second; 3+ years each in production Kubernetes and production-grade coding.
Education
BA/BS in Computer Science, Computer Engineering, Information Systems, or related technical discipline preferred; equivalent hands-on professional experience accepted in lieu of a degree.

About the job

Designs, automates, and supports secure, reliable multi-cloud infrastructure and platform services, including container, data, and integration platforms.

What you'll do

  • Build and operate infrastructure as code, cloud guardrails, and automation across AWS, Azure, and OCI.
  • Operate Kubernetes and OpenShift platforms and GitOps delivery; support data and integration platform provisioning.
  • Improve reliability, observability, and cloud cost management; provide technical guidance and lead smaller efforts.

What they ask for

  • 7+ years in an IT engineering, administration, or architecture role, including 5+ years of hands-on automation and infrastructure as code.
  • 4+ years designing and operating production workloads in at least one major public cloud; working exposure to a second cloud.
  • 3+ years supporting production Kubernetes.
  • 3+ years writing production-grade code in Python or a comparable language.

Nice to have

  • BA/BS in a related technical discipline; equivalent hands-on professional experience accepted in lieu of a degree.
  • Multi-cloud operations across AWS, Azure, and OCI; managed OpenShift at scale; or experience with managed data platforms or platform engineering.

Tools

Amazon Web Services, Microsoft Azure, Oracle Cloud Infrastructure, Terraform, Ansible, Kubernetes, OpenShift, Argo CD

AI focus

Applies AI-enabled engineering practices and AI governance; preferred experience includes AI coding assistants, building tools with LLM APIs, AI system evaluation and lifecycle practices, and AIOps.

Model-written summary · the original posting is authoritative

First seen Oct 14, 2026 · Last verified Nov 5, 2026 (UTC)