Staff Backend Engineer — Scale Large-Scale APIs, Equity

Reddit, Inc.; United States; On-site; USD 217,000 - 303,000; Full time

Benefits offered by this job

Equity

Commission

Medical insurance

Dental insurance

Vision insurance

401(k) with match

Generous time off

Parental leave

Job summary

Reddit, Inc. is seeking an experienced Product Backend Engineer to design and operate large-scale backend services across iOS/Android/Web clients. You will own the full software lifecycle for major product initiatives, building scalable APIs and data-driven features that power hundreds of millions of users.

The role emphasizes cross-functional collaboration, architectural rigor, and the use of AI-assisted tooling to accelerate development while maintaining reliability and performance.

Qualifications

• This role requires 7+ years of backend development experience and a track record of building large-scale distributed services.
• Strong skills in Go or Python and experience designing scalable APIs (GraphQL/REST/gRPC).
• Familiarity with modern caching layers and distributed datastores; comfort with data-driven decision making.

Responsibilities

• Partner with product, design, data science, and client teams to translate requirements into reliable backend solutions.
• Own end-to-end delivery from design and API contracts through testing, rollout, and observability.
• Design and run A/B experiments using analytics tools to drive data-informed decisions.

Skills

Backend development

Distributed systems

Go or Python

API design

Caching/datastores

AI-assisted tooling

Collaboration tools

Tools

Redis

Cassandra

PostgreSQL

Job description

Reddit, Inc. is seeking an experienced Product Backend Engineer to design and operate large-scale backend services across iOS/Android/Web clients. You will own the full software lifecycle for major product initiatives, building scalable APIs and data-driven features that power hundreds of millions of users.

The role emphasizes cross-functional collaboration, architectural rigor, and the use of AI-assisted tooling to accelerate development while maintaining reliability and performance.