[Remote] Site Reliability Engineer, Core Streaming (Remote - United States)
Note: The job is a remote job and is open to candidates in USA. Yelp is an innovative company focused on building and operating scalable, resilient systems. They are seeking a Site Reliability Engineer specializing in Kafka to manage their real-time data streaming infrastructure and support event-driven applications at scale.
Responsibilities
• Design, deploy, and maintain large-scale Kafka event streaming infrastructure across hybrid and multi-cloud environments
• Collaborate with engineers to enable new features, ensure data pipeline reliability, and advise on best practices for real-time data processing
• Execute and automate Kafka cluster upgrades, migrations, and major version rollouts with minimal impact to critical services
• Build or enhance self-service capabilities and automation for cluster operations, scaling, and incident recovery
• Troubleshoot complex issues affecting data flow, performance, or stability, and drive root cause analyses
• 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!
Skills
• Strong hands-on experience designing and implementing large-scale Kafka event streaming capabilities in production, across hybrid or multi-cloud and Linux environments, including upgrades and migrations between platforms or versions
• In-depth knowledge of event streaming/data-in-motion design principles, architecture, and operational nuances
• Programming proficiency in Java, Python, or similar modern languages for tooling, integration, and automation
• Familiarity with Kafka Client APIs (Producer, Consumer, Streams), as well as sizing and capacity planning for high-throughput clusters
• Experience designing and optimizing real-time data streaming solutions with technologies like Apache Flink
• Knowledge of automating infrastructure and operational tasks (configuration management, IaC, scripting, or related)
• Problem-solving mindset with an eagerness to learn, take initiative, and advocate for infrastructure best practices in a fast-paced environment
• A Bachelor's Degree or an equivalent work experience is required
Benefits
• This opportunity has the option to be fully remote in all locations across the US.
• You can find more information about Yelp's five star benefits here!
Company Overview
• Yelp is an online platform that connects people with great local businesses through user-generated reviews and recommendations. It was founded in 2004, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.yelp.com.
Company H1B Sponsorship
• Yelp has a track record of offering H1B sponsorships, with 6 in 2026, 47 in 2025, 42 in 2024, 61 in 2023, 84 in 2022, 61 in 2021, 72 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply To This Job
Responsibilities
• Design, deploy, and maintain large-scale Kafka event streaming infrastructure across hybrid and multi-cloud environments
• Collaborate with engineers to enable new features, ensure data pipeline reliability, and advise on best practices for real-time data processing
• Execute and automate Kafka cluster upgrades, migrations, and major version rollouts with minimal impact to critical services
• Build or enhance self-service capabilities and automation for cluster operations, scaling, and incident recovery
• Troubleshoot complex issues affecting data flow, performance, or stability, and drive root cause analyses
• 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!
Skills
• Strong hands-on experience designing and implementing large-scale Kafka event streaming capabilities in production, across hybrid or multi-cloud and Linux environments, including upgrades and migrations between platforms or versions
• In-depth knowledge of event streaming/data-in-motion design principles, architecture, and operational nuances
• Programming proficiency in Java, Python, or similar modern languages for tooling, integration, and automation
• Familiarity with Kafka Client APIs (Producer, Consumer, Streams), as well as sizing and capacity planning for high-throughput clusters
• Experience designing and optimizing real-time data streaming solutions with technologies like Apache Flink
• Knowledge of automating infrastructure and operational tasks (configuration management, IaC, scripting, or related)
• Problem-solving mindset with an eagerness to learn, take initiative, and advocate for infrastructure best practices in a fast-paced environment
• A Bachelor's Degree or an equivalent work experience is required
Benefits
• This opportunity has the option to be fully remote in all locations across the US.
• You can find more information about Yelp's five star benefits here!
Company Overview
• Yelp is an online platform that connects people with great local businesses through user-generated reviews and recommendations. It was founded in 2004, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.yelp.com.
Company H1B Sponsorship
• Yelp has a track record of offering H1B sponsorships, with 6 in 2026, 47 in 2025, 42 in 2024, 61 in 2023, 84 in 2022, 61 in 2021, 72 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply To This Job