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Backend Engineer - Ads Data Platform team
As a Software Engineer focussed on building data infrastructure, you will build and maintain the data infrastructure tools used by the entire Reddit Monetization Org to generate, ingest, and access petabytes of raw data, with a focus on performance and optimization. You will write scalable / fault tolerant code while collaborating with a team of top quality engineers, all while learning about and contributing to one of the most powerful streaming event pipelines in the world. You will also develop standards, and frameworks to ensure a high level of data quality to help shape the future of the data platform at Reddit Ads. Not only will your work directly impact hundreds of millions of users around the world, but your output will also shape the data infrastructure across all of Reddit!
This is a backend software development position within the Ads Organization. Ads is the fuel that powers Reddit’s mission. As a backend engineer on the Ads Data Platform team, you would work on:
- Building large-scale data infrastructure applications, like set-up and maintain data integration tools like airflow or spark, or have experience hosting and maintaining a distributed data store like Apache Druid for the entire company, horizontally.
- Refine and maintain our data infrastructure technologies to support privacy safe storage and usage of data
- Own the data pipelines that surface 65B+ daily events to all teams, and the tools we use ingestion, storage and to improve data quality.
- Design and implement tooling for access management, monitoring, anomaly detection
- Own data quality for crucial systems at Reddit. Define and manage SLAs for datasets that support production services.
- Perform code reviews that improve software engineering quality.
Technologies used on the team include:
- Languages: Scala, Go, Python, Java
- Frameworks: Spark, Thrift, Baseplate, Kafka, Flink, Airflow
- Datastores: Postgres, Cassandra, Druid, Redis, BigQuery
- Tools: Kubernetes, Argo, Docker
What We're Looking For:
- A Bachelor's degree or higher in a quantitative or computer science-related field (e.g., mathematics, statistics, economics, finance, computer science)
- 3+ years of full-time backend software engineering experience in a highly scalable computing environment
- Experience in backend development, with a passion for learning and adapting to new technologies that you lacked prior experience with.
- Experience with building the infrastructure/data infrastructure layer, setting up/managing core infrastructure for a large engineering organization, like a database, data integration tools, developer tools, container and virtualization tools etc
- Strong communication and collaboration skills, with the ability to work effectively with diverse stakeholders independently
- A commitment to delivering high-quality solutions that meet our users' needs, while prioritizing their privacy and security
Nice to Have:
- Experience using tools such as Kafka, Kinesis, Flink, or Spark, and good understanding of the underlying infrastructure setup and upkeep.
- Prior experience in the digital ads space, with a deep understanding of the challenges and opportunities in these areas
- Experience with agile development methodologies and version control systems like Git
- A passion for mentorship and knowledge-sharing, with a desire to help others grow and develop in their careers
Benefits:
- Comprehensive Health benefits
- Retirement Savings plan with matching contributions
- Workspace benefits for your home office
- Personal & Professional development funds
- Family Planning Support
- Flexible Vacation & Reddit Global Days Off
#LI-Remote
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. 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].
