Senior Go Backend Developer (Advertising Dashboard Team) (f/m/d)

6 Months ago • 5 Years + • Backend Development

Job Details

adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with.

Meet Your Team: Advertising Dashboard Team (part of the Demand Solutions team)

The Demand Solutions department builds the core technologies to help mobile publishers acquire the right users for their apps and games. The team is proud that adjoe’s software – developed 100 percent in-house – manages, provides, and analyzes advertisements for more than 200 million daily mobile users. adjoe’s Demand Solutions department builds modern user interfaces and software and powers its analytics in the dashboard with state-of-the-art databases like Druid. All to give advertisers and account managers the insights they need. The team provides statistical data via a dashboard in order to supply our partners with valuable insights. For this we leverage machine learning models built by our BI analysts and data scientists. Besides delivering high standards, Demand Solutions remains flexible and autonomous from adjoe’s other tech teams. To develop new platform features fast, this versatile team works on adjoe’s Go backend, which feeds data to the TypeScript React frontend.

As part of the Demand Solutions team, the Advertising Dashboard team is responsible for development of User & API interfaces that we provide for our internal business team and external advertisers to create, launch, analyze and optimize advertising campaigns.

What You Will Do

    • Contribute to the development of our backend written +99% in Go and maintain our microservice architecture used to communicate with our frontend (based on TypeScript React). To do this, you’ll use event buses like Kafka and SQS/SNS in order to have reliable asynchronous microservice communication
    • Work in a community of developers with whom you’ll share knowledge and contribute to peer code reviews
    • Work with modern columnar databases such as Druid – but also with MySQL, where you’ll optimize queries and the way we query data to deliver few-millisecond response times
    • Support partners by providing them with raw or aggregated data based on their business needs – we believe in data transparency and well-documented open APIs
    • Be responsible for collecting the billions of daily API events and aggregating them in our Kafka and Kinesis streams with the goal of querying them from the data lake in a matter of seconds
    • Be part of an international English-speaking team dedicated to scaling our adtech platform beyond our hundreds of millions of monthly active users

Who You Are

    • You have worked in software development for 8+ years.
    • You have gained profound experience with building web applications in Go for at least 5 years.
    • You have worked with at least one columnar database (Druid, ClickHouse, Snowflake, Vertica, …) and know how to analyze and optimize queries for it
    • You know how to profile a go application and figure out bottlenecks and have used this already in your work to optimize the code of the application
    • You have worked on a large go application with a considerable amount of traffic (>100e6 requests per day)
    • You are open to relocating to Hamburg, Germany
    • Plus: You have experience working with infrastructure as code (Terraform), Docker, and serverless infrastructure
Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application!

We welcome applications from people who will contribute to the diversity of our company.

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Hamburg, Hamburg, Germany (Hybrid)

Boston, Massachusetts, United States (Hybrid)

Hamburg, Hamburg, Germany (Hybrid)

Hamburg, Hamburg, Germany (Hybrid)

Hamburg, Hamburg, Germany (Hybrid)

Hamburg, Hamburg, Germany (Hybrid)

Hamburg, Hamburg, Germany (Hybrid)

Hamburg, Hamburg, Germany (Hybrid)

Hamburg, Hamburg, Germany (Hybrid)

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