Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark , Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.
2. Our DDS team spans across:
Apache Spark
Data Plane Storage
Delta Lake
Delta Pipelines
Performance Engineering
What we look for:
BS (or higher) in Computer Science, or a related field
12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
10+ years of industry experience developing large-scale distributed systems from scratch
Experience working on Search platform is a plus
Experience working on a SaaS platform or with Service-Oriented Architectures.