Senior Software Engineer (Kafka), Ads Data Infrastructure

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Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com

Reddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit and with more than 50 million daily active uniques, it is home to the most open and authentic conversations on the internet. For more information, visit redditinc.com.

We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we’re excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one - join us! 

As a data engineer, you will build and maintain the data infrastructure tools used by the Ads Monetization Org to generate, ingest, and access petabytes of raw data. A focus on performance and optimization will enable you to write scalable / fault tolerant code while collaborating with a team of top engineers, all while learning about and contributing to one of the most powerful streaming event pipelines in the world.

Not only will your work directly impact hundreds of millions of users around the world, but your output will also shape the data culture across all of Reddit!

Note: we are open to candidates based and authorized to work anywhere in the United States or Canada

 Responsibilities:

  • Design, build, and maintain streaming data infrastructure systems such as Kafka, Kafka Consumers such as built using Flink, Spark used by all of Reddit’s Ads engineering teams
  • Design alerting and testing systems to ensure the accuracy and timeliness of these pipelines. (e.g., improve instrumentation, optimize logging, etc)
  • Debug production issues across services and levels of the stack
  • Plan for the growth of Reddit’s Ads infrastructure
  • Build a great customer experience for developers using your infrastructure
  • Work with teams to build and continue to evolve data models and data flows to enable data driven decision-making
  • Identify the shared data needs across Reddit Ads, understand their specific requirements, and build efficient and scalable data pipelines to meet the various needs to enable data-driven decisions across Reddit Ads

Qualifications:

  • A strong engineering background and exposure to Data engineering work
  • Experience developing, maintaining and debugging distributed systems built with open source tools
  • Experience building infrastructure as a product centered around users needs
  • Experience optimizing the end to end performance of distributed systems
  • Experience with scaling distributed systems in a rapidly moving environment
  • Experience managing and designing data pipelines
  • Can follow the flow of data through various pipelines to debug data issues
  • Familiarity with ETL design (both implementation and maintenance)

Bonus:

  • Experience working on stream processing systems such as Kafka, Flink 
  • Experience working on real-time analytic systems as Druid
  • Experience with Java, Golang, Scala and/or Python
  • Experience with Lambda Architecture systems
  • Experience with (or desire to learn) Kubernetes

Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected].

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Location

1455 Market St., San Francisco, CA 94103

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