Drimva

Apple

Senior Engineering Manager - Platform Automation, ADP Managed Services

$238K–$402K

Cupertino, California · Manager · Full-time · Posted Oct 8, 2026

Experience
10+ years building large-scale distributed systems, infrastructure platforms, cloud platforms, or related technologies; 5+ years of engineering management experience.
Education
BS or MS in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

About the job

Leads the strategy and execution of ADP’s multi-cloud infrastructure automation platform, enabling standardized deployment and operation of services across cloud providers and environments.

What you'll do

  • Set the platform’s long-term direction and lead senior and staff engineers across technical workstreams.
  • Build and evolve automation for cloud provisioning, Kubernetes, security, and service lifecycle management.
  • Set infrastructure security direction and advance AI capabilities for platform engineering and operations.

What they ask for

  • 10+ years building large-scale distributed systems, infrastructure platforms, cloud platforms, or related technologies.
  • 5+ years of engineering management experience.
  • Deep expertise in platform engineering, cloud-native infrastructure, distributed systems, and large-scale automation; strong experience with Kubernetes and major public clouds such as AWS and Google Cloud.
  • BS or MS in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Nice to have

  • Experience building or leading a large-scale internal developer, infrastructure, or cloud platform, or Platform-as-a-Service.
  • Experience with multi-cloud architectures, Kubernetes operators and controllers, GitOps, Infrastructure as Code, CI/CD, or applying AI to platform engineering.

Pay

$237,600 and $401,700 USD base salary

Tools

AWS, Google Cloud, Alibaba Cloud, Kubernetes, GitOps, Infrastructure as Code, CI/CD

AI focus

Shape AI-powered capabilities for service onboarding, deployment, and operations, and use AI to accelerate platform development, validation, troubleshooting, and operation.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)