> Markdown version of [/jobs/ext/2073334-site-reliability-engineer-core-streaming-remote-canada](https://www.wearedevelopers.com/jobs/ext/2073334-site-reliability-engineer-core-streaming-remote-canada). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Site Reliability Engineer - Core Streaming (Remote - Canada)

- **Company:** Yelp, Inc.
- **Location:** United States (Remote available)
- **Salary:** $135,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Configuration Management, Computer Programming, Software Debugging, Linux, Distributed Systems, Python (Programming Language), Reliability Engineering, Ansible, Data Streaming, Multi-Cloud, Apache Flink, Apache Kafka, Puppet, Terraform, Stream Processing, Data Pipelines
- **Published:** August 15, 2026
- **Apply:** http://hbcu.com/cgi-bin/jobs/searchJobs.cgi?job_id=35188545

## About the Role

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This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes.

  

## What you'll do:

- 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. Our geographically distributed SRE teams use a "follow-the-sun" model, so no one needs to be on-call 24 hours a day!

  

## What it takes to succeed:

- Solid SRE or infrastructure engineering foundation: experience with infrastructure-as-code (Terraform), configuration management (Puppet, Ansible, or equivalent), cloud platforms (AWS preferred), and Linux operations
- Production level experience with Kafka or similar technologies at scale including cluster upgrades, migrations, and capacity planning
- Programming proficiency in Python, Java, or similar for tooling and automation
- Strong debugging and systems-thinking skills, comfortable tracing data flow issues end-to-end across distributed systems

Nice to Have

- Experience with Apache Flink or other stream processing frameworks
- Familiarity with Kafka Client APIs (Producer





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