Site Reliability Engineer, Core Streaming

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Yelp

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🍽️ Food & Beverage

🏨 Hospitality

📣 Marketing

Food & Beverage • Hospitality • Marketing

Yelp is a platform that connects people with great local businesses, allowing users to write and share reviews of a variety of services including restaurants, boutiques, salons, dentists, mechanics, plumbers, and more. With approximately 155 million cumulative reviews contributed by users, Yelp enhances the consumer experience by bringing traditional word-of-mouth recommendations online.

📋 Description

• Own the reliability, scalability, and operational health of Kafka clusters across multi-cloud and hybrid environments • Build and maintain automation for cluster operations, upgrades, capacity scaling, and incident recovery • Partner with engineering teams to enable new streaming use cases, advise on best practices, and ensure data pipeline reliability • Troubleshoot complex issues affecting data flow, performance, or stability, and lead root cause analyses • Execute Kafka version upgrades and platform migrations with minimal disruption to critical services • Participate in on-call rotations using a geographically distributed follow-the-sun model • Drive automation and self-service for deploying, upgrading, and scaling streaming infrastructure

🎯 Requirements

• Solid SRE or infrastructure engineering foundation • Experience with infrastructure-as-code, especially Terraform • Experience with configuration management using Puppet, Ansible, or equivalent • Experience with cloud platforms, AWS preferred • Experience with Linux operations • Production-level experience with Kafka or similar technologies at scale • Experience with cluster upgrades, migrations, and capacity planning • Programming proficiency in Python, Java, or similar • Strong debugging and systems-thinking skills • Ability to trace data-flow issues end-to-end across distributed systems • Experience with Apache Flink or other stream-processing frameworks preferred • Familiarity with Kafka Client APIs, including Producer, Consumer, and Streams preferred • Experience building internal self-service tooling or developer platforms preferred • Experience with incident response and management preferred

🏖️ Benefits

• Fully remote work across Canada • Five star benefits • Follow-the-sun on-call model, so no one needs to be on-call 24 hours a day • Reasonable accommodations for individuals with disabilities • Equal opportunity employment • Opportunities for meaningful ownership and innovation • Support from managers, mentors, and teams