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# backend engineer

- **Company:** reddit Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $190,800.0 - $267,100.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), BigQuery, C++ (Programming Language), Software Quality, Data Stores, Data Visualization, Distributed Systems, Python (Programming Language), PostgreSQL, Redis, Software Engineering, Apache Spark, Backend, Kubernetes, Druid, Apache Kafka, Docker, Golang, Microservices
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-software-engineer-ads-reddit-7105249

## About the Role

* 5+ years of software development experience in one or more general purpose programming languages (Java, Scala, Go, C++, Python).
 * Able to take complete ownership of a feature or project.

Bonus Points:

 * Experience working in the Ads domain
 * Experience or interest in the advertising business and understanding customer needs

## Description

This is a Generalist Senior Backend Engineer position within the Ads Organization. Ads is the fuel that powers Reddit's mission. As a backend engineer on the team, candidates might work on:

 * Microservices and APIs that power our advertiser-facing product, ads.reddit.com
 * Distributed systems that ensure the right ad gets shown to the right user at the right time
 * Backends that power interactive user experiences on our ads like Polls and Games
 * Real time, data intensive systems that measure the performance of our ad campaigns
 * Infrastructure that supports all of the above

Technologies used on the team include:

 * Languages: Go, Python, Scala
 * Frameworks: Spark, Thrift, Baseplate, Kafka
 * Datastores: Postgres, BigQuery, Redis, Druid
 * Tools: Kubernetes, Argo, Docker, * Work with product managers to design and implement Ads products.
 * Collaborate closely with the platform and data teams while building new features.
 * Lead the processes needed to improve operational stability, including improving code quality, delivering dashboards and data visualizations.
 * Build extensible components that would align with the product objectives.
 * Support day to day project management tasks including communicating project updates, managing project timelines and overseeing project execution.


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