Staff Go Backend Developer (f/m/d)

About this role

adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting the sub-millisecond decision engine that powers 200 million daily ad interactions The Demand Core team and backend platform squads build the foundational infrastructure that determines which of our thousands of active advertising campaigns are relevant to a user the moment they open Playtime.

At our scale, system latency is a business failure: downtime means advertisers stop spending, users stop earning rewards, and publisher revenue stalls. As a Staff Backend Developer, you will own the architectural integrity, reliability, and long-term evolution of the distributed systems that power these decisions 200 million times every day across multiple teams. Go microservices load the active ad campaign catalog into memory, evaluating 40+ targeting constraints and 30+ real-time signals like geo, fraud status, budget caps, to rank potential user performance in milliseconds.

Beyond individual services, you will define architectural patterns across the entire ad interaction chain: high-throughput processing of clicks, views, MMP postbacks from Adjust and AppsFlyer, and reward-triggering in-app events. You will govern our hybrid messaging architecture using SNS/SQS and Kafka, standardize backend data patterns across DynamoDB, relational, and analytical data stores, and ensure our core ad scoring pipelines remain resilient under massive load.

Your Mission & Who We Are Looking For: - Production Golang Systems & Architecture Mastery: You bring extensive backend development experience (7+ years, with deep production Go expertise in distributed environments). You will define service boundaries, concurrency models, and runtime optimizations for our +99% Go microservice architecture, scaling the platform reliably beyond hundreds of millions of monthly active users.