Kafka Platform SRE for Large-Scale Data Streaming

Socket.dev; Seattle (WA); On-site; USD 150,000 - 190,000; Full time

Job summary

Apple Service Engineering – Data Streaming SRE team is seeking Site Reliability Engineers to design and automate distributed systems in production, focusing on low latency data services and scalable platforms.

You will contribute to Kafka deployment infrastructure, build tooling for automation, monitoring, and on-call incident response while collaborating with cross-functional teams across Apple services to improve reliability and performance.

Qualifications

• 5+ years of experience supporting internet-facing production services and distributed systems via deployments, On Call and Incident Management.
• 5+ years of experience running large scale infrastructure with heavy automation tooling.
• 5+ years of experience troubleshooting and performance deep dive analysis.
• Experience with Kubernetes in production.
• Experience deploying in and running on Datacenter and Cloud architectures; design of multi-datacenter systems and WANs.
• Proactive, self-motivated, quick to learn new technologies.
• Experience developing and troubleshooting distributed systems and database storage engines.
• Experience with AWS, GCP and Terraform.

Responsibilities

• Develop and maintain Kafka deployment infrastructure and related tooling.
• Build automation for deployment, monitoring, and alerting dashboards.
• Collaborate across teams to define metrics, targets, and optimization opportunities.
• Contribute to safety, stability, performance, and scaling of data services.

Skills

Distributed systems

Incident management

Automation tooling

Troubleshooting

On-call experience

Self-motivation / fast learner

Cross-functional collaboration

Tools

Kafka

Terraform

AWS

GCP

Go

Java

Python

Job description

Apple Service Engineering – Data Streaming SRE team is seeking Site Reliability Engineers to design and automate distributed systems in production, focusing on low latency data services and scalable platforms.

You will contribute to Kafka deployment infrastructure, build tooling for automation, monitoring, and on-call incident response while collaborating with cross-functional teams across Apple services to improve reliability and performance.