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This position involves developing infrastructure and products for the Databricks platform, focusing on backend engineering tasks. Daily responsibilities may include tackling challenges in distributed systems, large-scale service architecture, monitoring, workflow orchestration, and improving developer experience. Engineers might also work on creating reliable services and client libraries for accessing massive datasets on cloud storage backends such as AWS S3 or Azure Blob Store. Additionally, the role could involve building scalable services using technologies like Scala and Kubernetes, or developing data pipelines with Spark to support pricing infrastructure that handles millions of cluster-hours daily. The company seeks candidates with a bachelor’s degree or higher in Computer Science or a related field. Applicants must possess at least seven years of production-level experience in languages such as Java, Scala, or C++. Prior experience developing large-scale distributed systems is required, along with a background in SaaS platforms or Service-Oriented Architectures. A solid understanding of SQL is also necessary for this role. The advertisement does not specify any language requirements beyond the technical skills listed. No information regarding office, hybrid, or remote working arrangements is provided in the text. This opportunity is suitable for experienced backend engineers who have a strong foundation in building high-performance, scalable systems within a SaaS environment.
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