Go Backend Developer

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.

Transforming 50M+ daily events into real-time actionable dashboard insights

The Dashboards team is responsible for the systems and interfaces that define our partners' daily operations. We build the campaign management APIs, analytics engines, and high-throughput tools that allow advertisers and publishers to configure, monitor, and optimize their activity on our platform.

This is not about simple CRUD interfaces, it is about building high-performance data surfaces that drive massive business decisions. Using Go, Kafka, and Druid, we process and render real-time analytics across 50+ million daily events, ensuring accuracy and complex campaign performance reporting at scale. On the frontend, we tackle genuine engineering constraints: utilizing TypeScript and React, we have moved beyond standard library limitations to build highly optimized graph-rendering with Recharts capable of visualizing datasets that would overload conventional solutions.

 

Your Mission & Who We Are Looking For:

• Go is your primary language at scale. You have 5+ years in software development with 3+ years building production Go services. You've worked on high-traffic systems handling 100M+ requests per day, and you know how to profile and optimize Go applications — not just identify that something is slow, but fix it.

• Distributed systems are your default. You design and operate microservice architectures using event buses like Kafka and SQS/SNS for reliable asynchronous communication. At adjoe, you'll be collecting and aggregating billions of daily API events into Kafka and Kinesis streams, queryable from the data lake in seconds.

• Data performance matters to you. You work with columnar databases like Druid and relational databases like MySQL, optimizing queries to deliver few-millisecond response times. You understand the difference between how data should be stored and how it should be queried at scale.

• Partner-facing data ownership. You'll support partners by providing raw or aggregated data through well-documented open APIs, backed by TypeScript React dashboards on the frontend. You believe in data transparency and build APIs that reflect that.