below marketmost similar roles pay hereabove market
This role pays less than
89%
of similar roles. Most pay
$202,800–$249,325
— the blue band above.
At the midpoint, this role pays about
$178k
versus about
$226k
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
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
The Backend Engineer, QoS Apple Services Engineering joins the Apple Services Engineering team to build and operate large-scale observability platforms. This role involves designing, developing, and scaling critical backend services and real-time data pipelines that process petabytes of data across global cloud infrastructure. You will build tools and interfaces to proactively identify and diagnose service disruptions for products like Apple TV, Apple Music, and the App Store. Key technologies include JVM languages such as Java, Scala, and Kotlin, along with Go, Python, and Swift. You will utilize frameworks like Apache Spark or Apache Flink, and work with Kubernetes, Kafka, and databases. Core competencies include building distributed systems, managing microservices, and utilizing observability tools like Splunk, Grafana, and Prometheus to ensure seamless service reliability.
What does a Backend Engineer earn?
Median $206000 from 33 postings across 18 companies.
Design, develop, and scale backend services and real-time data pipelines to process petabytes of cloud infrastructure data.
Build tools and interfaces that allow Apple engineers to monitor and diagnose service health across global infrastructure.
Develop observability solutions for new and expanding lines of business across various Apple services.
Troubleshoot complex issues in large-scale distributed systems using modern observability practices and tooling.
Implement high-performance APIs and microservices using JVM languages or other supported programming languages.
Build secure, resilient, and cloud-native systems using container orchestration and event-driven patterns.
Mentor other engineers and foster a team culture of knowledge sharing and continuous growth.
What we're looking for
Experience building and scaling high-performance backend services and APIs using GraphQL, REST, or gRPC.
Experience with JVM languages such as Java, Scala, or Kotlin, or proficiency in Go, Python, or Swift.
Experience designing and building large-scale data pipelines for batch or stream processing using frameworks like Apache Spark or Apache Flink.
Proficiency in designing and building cloud-native, distributed systems with experience in microservices, Kubernetes, and Kafka.
Strong fundamentals in data systems with experience using both relational and NoSQL databases.
Experience with modern observability practices and tooling such as Splunk, Grafana, or Prometheus.
A track record of building and delivering exceptional software through a related technical degree, non-traditional path, or equivalent practical experience.
Experience with modern frontend development using React, Vue, Svelte, or native macOS/iOS development using Swift (preferred).
Java
Kotlin
Go
Python
RESTful APIs
Distributed Systems
SQL
MySQL
NoSQL
Cassandra
DynamoDB
Kafka
RabbitMQ
Solr
Elasticsearch
Redis
Spring Framework
Spring Boot
Docker
Kubernetes
CI/CD
Large Language Models
Retrieval-Augmented Generation
Vector Databases
OpenAI
Anthropic
Google Gemini
Azure OpenAI
AWS Bedrock
Hugging Face
Java
Scala
Apache Spark
Apache Flink
Apache Kafka
Cassandra
Large Language Models
LangGraph
MCP Servers
Distributed Systems
Data Processing
AI
Algorithms
Data Structures
Java
Spring
Kafka
Apache Cassandra
Apache Solr
NoSQL
CI/CD
Jenkins
Gradle
Bazel
Event-Driven Architecture
Data Modeling
Search Infrastructure
Version Control Systems