below marketmost similar roles pay hereabove market
This role pays more than
62%
of similar roles. Most pay
$144,875–$216,400
— the blue band above.
At the midpoint, this role pays about
$203k
versus about
$181k
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.
Site Reliability Engineer - Kafka
The Site Reliability Engineer - Kafka joins the Service Engineering Data Streaming SRE team to build and run large-scale, fault-tolerant distributed systems. You will develop processes, tools, and automation for managing production environments, specifically focusing on next-generation Kafka infrastructure and platform services. Day-to-day responsibilities include contributing to Kafka deployment infrastructure, maintenance automation, control plane enhancements, and monitoring and alerting tooling. You will perform performance engineering, service lifecycle management across bare metal, virtualized EC2, and Kubernetes platforms, and prepare runbooks for incident management. Required skills include proficiency in Java, Go, or Python, along with experience in AWS, GCP, and Terraform. This role solves complex problems regarding data infrastructure scalability and low-latency data delivery across various internal service areas like commerce and search.
What does a Site Reliability Engineer earn?
Median $180200 from 121 postings across 36 companies.
Develop and maintain tools and automation for managing large-scale distributed systems.
Build and optimize next-generation Kafka infrastructure and platform services.
Perform deep performance engineering, including design concepts and profile-guided optimizations.
Manage service lifecycles across bare metal, virtualized (EC2), and Kubernetes platforms.
Create monitoring, alerting tools, dashboards, and incident management runbooks.
Troubleshoot and perform deep dive analysis on distributed systems and database storage engines.
Design and manage multi-datacenter systems with a focus on high availability and scalability.
Develop infrastructure as code (IaC) using tools like Terraform for cloud and datacenter environments.
What we're looking for
5 or more years of experience supporting internet-facing production services and distributed systems via deployments, On Call, and Incident Management.
5 or more years of experience running large scale infrastructure with a heavy reliance on automation tooling.
5 or more years of experience troubleshooting and performing deep dive analysis.
Real operational experience managing services at scale on Kubernetes.
Proficiency in one or more programming languages: Java, Go (golang), or Python.
Operational experience deploying in Datacenter and Cloud architectures including networking topologies, host placement strategies, and multi-datacenter design.
Demonstrated expertise developing and troubleshooting distributed systems and database storage engines.
Experience with AWS, GCP, and IaC such as Terraform; experience managing messaging services like Kafka is preferred.