Staff Software Engineer - Ingestion Platform

Reddit is a community of communities It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet

Every day, Reddit users submit, vote, and comment on the topics they care most about With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information

For more information, visit www.redditinc.com .

Who We Are

The Infrastructure organization enables Reddit to deliver Reliability, Performance and Efficiency, with a single opinionated technology stack The Content Platform team within Infrastructure additionally focuses on empowering product teams to build the best possible Content-related experiences, easily and reliably

This is a high-impact team that owns the Tier-0 services and core data models that power some of the most visible aspects of our product - viewing a feed, posting, commenting, upvoting - and we work closely with teams like Consumer, Ads, Feeds, Storage and Ranking

This team is also responsible for running and maintaining R2 – Reddit’s monolith legacy stack that is pretty much in the critical path for every Critical User Journey at Reddit.

We are looking to hire a Staff Software Engineer to help us in this mission. This is a high impact role where your unique insights into improving our operational posture as well as harmonizing feedback from customers will shape the future direction of our platform.

What You’ll Do

As a Staff Engineer, you will lead the development and evolution of Reddit’s Ingestion Platform.

Design, write, and deliver reliable software for distributed data movement across streaming and batch workloads, with a focus on availability, scalability, latency, correctness, and cost efficiency

Own the architecture and evolution of the platform’s control plane and data plane, including pipeline APIs, controllers, connectors, target managers, schemas, and sink integrations

Expand the platform beyond Kafka-to-BigQuery by helping deliver production-ready paths to S3/GCS and Apache Iceberg, as well as transformations, deduplication, dead