You will work on our bidding, data processing and machine learning infrastructure. This involves services which are distributed around the globe, handling more than two million requests per second and generating terabytes of data daily.
Add features to and refactor existing code in our bidder while maintaining a sub 50ms response latency.
Build real-time processing pipelines to transform, aggregate, and ship data both internally and to external partners.
Develop supporting systems and infrastructure for machine learning research, such as model repositories, feature stores, and training environments.
Decide on appropriate metrics, logging, and alerting to ensure our distributed system stays in sync and operational 24/7/365.
Work with a multitude of technologies: primarily Go, but also including Python, Kafka, Druid, Aerospike, Ruby, Elasticsearch, Chef, Hadoop, Spark, TensorFlow, Airflow and Kubernetes.
Work in a hybrid environment that mixes on-premise with cloud based infrastructure (mainly AWS and GCP).
Remerge is an Equal Opportunity Employer: all qualified applicants are considered for positions regardless of race, ethnic origin, gender, age, religion or belief, marital status, gender identification, sexual orientation, veteran status or disability. We're looking forward to your application!
Remerge is a fast-growing mobile advertising scaleup that has become the no.1 app retargeting company over the last 6 years with offices spanning Berlin, San Francisco, New York, Singapore, Tokyo, Seoul and Beijing. Our mission is to help app developers maximize user engagement and in-app revenues by providing the world's most scalable and efficient app retargeting platform. Remerge enables app developers to re-engage up to 2 million users per second across 500,000 apps globally in order to increase retention and boost user lifetime value. Remerge works with the world's top grossing app developers from all major verticals such as AirBnb, Spotify, Activision Blizzard, Twitch and Lieferando/Takeaway.
We are proud of the product we’ve built and the impact it has on other people’s businesses and lives. We like to be surrounded by people who push for growth opportunities and are open to trying out something new. We love data, designing for the user and anything that helps drive intelligent decisions.