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From transporting events reliably between services and datastores with Kafka, to processing massive streams of data in real-time with Flink and Beam, our team offers simple abstractions to power a whole host of personalized experiences for Yelp’s users and drive optimizations for Yelp’s advertising businesses.. What you'll do:Architect and build platforms that can effectively store and crunch terabytes of data and power amazing experiences for Yelp’s users at ever increasing scale.. What it takes to succeed:Strong systems experience: Design, deploy, and operate large-scale distributed systems, including cloud-native streaming architectures ( AWS MSK, Apache Flink).. Data streaming expertise: Deep understanding of data streaming concepts with experience designing, analyzing, and troubleshooting complex streaming systems ( Apache Kafka, Apache Flink, Apache Beam).. Data warehousing/lake experience: Manage and operate PB-scale data warehouse or data lake technologies ( AWS Redshift, AWS S3).

senior platform engineer

SummaryYelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment. Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers – and all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights are hugely impactful to Yelp’s business.We’re looking for experienced engineers to join our team and build elegant, scalable platforms that bring the potential of data streams to Yelp’s features teams. From transporting events reliably between services and datastores with Kafka, to processing massive streams of data in real-time with Flink and Beam, our team offers simple abstractions to power a whole host of personalized experiences for Yelp’s users and drive optimizations for Yelp’s advertising businesses. Data Streams powers critical machine learning, real-time notifications, sales & marketing engineering, and data warehousing use cases across Yelp. This opportunity requires you to be located in the Republic of Ireland. 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:Architect and build platforms that can effectively store and crunch terabytes of data and power amazing experiences for Yelp’s users at ever increasing scale.Learn the fine art of balancing scale, latency, and availability depending on the problem.Participate in our on-call rotation - we have geographically distributed teams and we have a North America based team who supports us during NA hours.Lead software development projects and work closely with software engineers, data scientists, product managers, and other business stakeholders in mid-to-large cross-functional projects.Mentor other engineers on both technical and non-technical topics.What it takes to succeed:Strong systems experience: Design, deploy, and operate large-scale distributed systems, including cloud-native streaming architectures ( AWS MSK, Apache Flink).Data streaming expertise: Deep understanding of data streaming concepts with experience designing, analyzing, and troubleshooting complex streaming systems ( Apache Kafka, Apache Flink, Apache Beam).Data warehousing/lake experience: Manage and operate PB-scale data warehouse or data lake technologies ( AWS Redshift, AWS S3).Coding: Love for writing clean and efficient code, primarily in Python and Java.Unix/Kubernetes: Comfort working in a Unix environment and utilizing Kubernetes. Willingness to learn and adapt to new technologies.Problem-solving: Possessing a deep understanding of previously worked-on systems, with a passion for tracking down root causes and implementing systematic solutions.Excellent written and interpersonal communication skills and willingness to uphold Yelp's deeply held values.What you'll get: Full responsibility for projects from day one, a collaborative team, and a dynamic work environment. Competitive salary, a pension scheme, and an optional employee stock purchase plan. 25 days paid holiday (rising to 29 with service), plus one floating holiday. €150 monthly reimbursement to help cover remote working expenses. €95 caregiver reimbursement to support dependent care for families. Private health insurance, including dental and vision. Flexible working hours and meeting-free Wednesdays. Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth. Opportunities to participate in digital events and conferences. €95 per month to use toward qualifying wellness expenses. Quarterly team offsites. ClosingYelp values diversity. We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status. Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes. #LI-Remote Recruiting and Applicant Privacy Notice

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