We’re seeking a hands-on, experienced backend engineer who can drive the implementation of our distributed systems. You will be working closely on improving Apache Druid, ensuring that the performance meets our customer SLAs. In addition, you would work with the Apache Druid community and help grow it. You’re joining a culture that is open, works smart, and has fun -- with ample space to make your mark.
Responsibilities
Our product is a cloud-hosted, workspace application for business intelligence, enabling users and organizations to create, edit, and share data tables and dashboards powered by our Druid database engine.
As such, your responsibilities would include:
Contributing to Open Source Apache Druid development Building scalable ingestion systems that can handle billions of events Improving Druid query functionality to improve performance and add new features Manage and Scale hosted Saas offering that provides fault tolerance and consistency in at scale for 1000s of nodes
Qualifications
Developing the streaming analytics pipelines service requires an impossible breadth of knowledge and experience, no individual will have all of them, and thus will be expected to learn some of these on the job.
Recognizing this, here are some of the key qualifications we seek in a successful candidate for this role:
5+ years of experience building distributed fault-tolerant systems such as Cassandra, Kafka, Pinot, Clickhouse, ElasticSearch, MongoDb, Druid, or Zookeeper. Experience developing high concurrency, performance-oriented Java systems. Using standard tools to tune, profile, and debug Java Virtual Machines (JVM).A solid grasp of good software engineering practices such as code reviews and a deep focus on testability and quality. Strong communication skills: ability to explain complex technical concepts to designers, support staff, and other engineers. Previous experience contributing to Open source projects is a plus Exposure to Big Data systems such as Hadoop, Presto, Spark, ElasticSearch, or relational databases like MySQL or Postgres is a strong plus. 
