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DatabricksDatabricksSan Francisco, CA

Staff Software Engineer - Backend

Designs, builds, and operates scalable backend microservices for Databricks' data and AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in large-scale distributed systems.

192k – 260k/yr
On-site10+ YOEBackend Engineering

About the role

Example Teams

  • Data Science and Machine Learning Infrastructure: Build services for ML and distributed systems, including notebooks, IDE integrations, MLflow.
  • Compute Fabric: Resource management for big data and ML workloads, managing millions of VMs.
  • Data Plane Storage: Services for cloud storage like AWS S3, Azure Blob Store.
  • Enterprise Platform: Onboarding and management services for enterprise customers.
  • Observability: Platform for logs and telemetry processing.
  • Service Platform: Tools for developing, deploying, and managing services.
  • Core Infra: Highly available distributed systems with Kubernetes across clouds.

Requirements

  • BS/MS/PhD in Computer Science or related field
  • 10+ years of production experience in Java, Scala, C++, or similar
  • Comfortable working towards multi-year vision with incremental deliverables
  • Experience architecting, developing, deploying, and operating large-scale distributed systems
  • Experience with SaaS platforms or Service-Oriented Architectures
  • Good knowledge of SQL
  • Experience with software security and sensitive data systems
  • Experience with cloud technologies (e.g., AWS, Azure, GCP, Docker, Kubernetes)

Skills

ScalaJavaSparkApache KafkaKubernetesAWSAzureDockerSQLTerraform
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