Senior Manager, Platform Engineering & DevOps

Disney Cruise Line - The Walt Disney Company

Glendale (CA)

Hybrid

Confidential

Full time

8 days ago
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Benefits offered by this job

Bonus potential
Long-term incentives
Medical benefits

Job summary

Disney Entertainment and ESPN Product & Technology in California seeks a Sr. Manager of Foundations Engineering to lead platform engineering, DevOps, and reliability across Ad Platforms.

You will shape cloud-native tooling, CI/CD, and observability practices to empower development teams at scale. As a people leader, you will mentor engineers, optimize deployments, and partner with AI/Data groups to deliver secure, cost-efficient, high-availability services across AWS/Azure/GCP in a hybrid

Qualifications

  • 10+ years of software engineering experience, with depth in platform engineering, cloud infra, DevOps or SRE.
  • Proven people management experience leading engineering teams within a platform or infra org.
  • Strong cloud infra and platform engineering expertise across AWS; Kubernetes and IaC at production scale.

Responsibilities

  • Lead platform engineering and DevOps for Ad Platforms, including CI/CD, Kubernetes, IaC, and cloud integrations.
  • Drive automation-first operations, self-service tooling, and reliable deployment patterns across teams.
  • Own delivery cadence, roadmap, postmortems, and operational reviews to improve platform health.

Skills

Platform engineering
DevOps
SRE
Cloud infrastructure
Leadership
Cross-team collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

AWS
Azure
GCP
Kubernetes
CI/CD
Infrastructure as Code

Job description

Disney Entertainment and ESPN Product & Technology in California seeks a Sr. Manager of Foundations Engineering to lead platform engineering, DevOps, and reliability across Ad Platforms.

You will shape cloud-native tooling, CI/CD, and observability practices to empower development teams at scale. As a people leader, you will mentor engineers, optimize deployments, and partner with AI/Data groups to deliver secure, cost-efficient, high-availability services across AWS/Azure/GCP in a hybrid

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