below marketmost similar roles pay hereabove market
This role pays more than
95%
of similar roles. Most pay
$151,000–$244,237
— the blue band above.
At the midpoint, this role pays about
$320k
versus about
$198k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3552 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2742 roles with salary data.
The Senior Engineering Manager - Platform Automation, ADP Managed Services leads a team of senior and staff engineers within the Apple Data Platform. This role involves owning the strategy and execution for a multi-cloud infrastructure automation platform that abstracts complexity for over 40 products. You will build standardized, repeatable deployments across AWS, Google Cloud, and Alibaba Cloud by automating cloud provisioning, Kubernetes, networking, identity, observability, security, configuration, capacity, and lifecycle management. The position requires developing a unified, declarative architecture that incorporates AI-powered capabilities to simplify service onboarding and operations. Key responsibilities include defining long-term technical strategy, ensuring infrastructure security by default, and driving cost-conscious infrastructure decisions. Success requires expertise in distributed systems, Infrastructure as Code, GitOps, CI/CD, and managing large-scale production infrastructure across diverse cloud environments.
What does a Engineering Manager earn in California?
Median $281300 from 82 postings across 23 companies.
Own the strategy and execution for the multi-cloud infrastructure automation platform.
Translate service requirements into standardized, repeatable deployments across multiple cloud providers and regions.
Abstract infrastructure complexity by automating cloud provisioning, Kubernetes, networking, and security through certified APIs.
Evolve the platform toward a unified, declarative architecture to simplify service onboarding and improve portability.
Integrate AI-powered capabilities to simplify how service teams onboard, deploy, and operate their services.
Set the direction for infrastructure security and automate approved controls into the platform by default.
Drive cost-conscious infrastructure decisions by partnering with the Platform Efficiency organization.
Lead a team of senior and staff engineers to execute multiple complex technical workstreams.
What we're looking for
10+ years of experience building large-scale distributed systems, infrastructure platforms, cloud platforms, or related technologies.
5+ years of engineering management experience.
BS or MS in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Deep technical expertise in platform engineering, cloud-native infrastructure, distributed systems, and large-scale automation.
Strong experience with Kubernetes and major public cloud platforms such as AWS and Google Cloud.
Strong understanding of infrastructure automation, declarative systems, Infrastructure as Code, configuration management, deployment orchestration, and lifecycle management.
Experience leading senior and staff engineers across multiple complex technical workstreams.
Experience building or leading a large-scale internal developer platform, infrastructure platform, cloud platform, or Platform-as-a-Service (preferred).
Generative AI
LLMs
Machine Learning
Distributed Systems
Cloud Infrastructure
Kubernetes
Spark
Ray
Kafka
Trino
Iceberg
AWS
GCP
RAG
Model Serving
AI Orchestration
Serverless
Agentic AI
LLM
Distributed Systems
Cloud-native Architecture
AI/ML Infrastructure
System Design
Code Review
Compliance Automation
Production AI Systems
Java
Go
C++
C#
Python
OCI
CI/CD
GitOps
Infrastructure Automation
Site Reliability Engineering
Observability
Identity and Access Management
Policy-as-Code
Distributed Systems