Fullstack Software Engineer, Notifications Lifecycle

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.

As a full-stack engineer on the Notifications team, you’ll design, build and scale products within our notifications system, with a focus on the end user experience. You’ll have an opportunity to work across the stack and with cross-functional teams such as Product, Machine Learning and Data Science. Your work will directly impact hundreds of millions of users around the world. Join us and help build the future of Reddit!

Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence.

• Designing, developing, and maintaining backend services that handle notifications and emails while ensuring the performance, security, and scalability of our systems.
• Designing, developing, and maintaining high quality, performant frontend features.
• Contributing to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be writing design docs and code, and get valuable feedback on your work.
• Working collaboratively with product managers, designers, data scientists and other engineers to deliver high-quality products.
• Contributing to the infrastructure that supports all of the above

Technologies we use

Our teams leverage a diverse and modern technology stack. While specific technologies may vary by team, we generally work with:

• Languages: Go, Python, Typescript, GQL
• Frameworks: Spark, Kafka, Airflow
• Datastores: BigQuery, Redis, Cassandra, PostgreSQL
• Tools: K