Staff Software Engineer - Backend
Designs, builds, and operates scalable microservices for Databricks' data and AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in large-scale distributed systems.
About the job
Example Teams
- Data Science and Machine Learning Infrastructure: Build services for collaborative workspace, notebooks, IDE integrations, distributed training, and MLflow.
- Compute Fabric: Develop resource management infrastructure for big data and ML workloads, managing millions of virtual machines.
- Data Plane Storage: Deliver services for cloud storage like AWS S3 and Azure Blob Store.
- Enterprise Platform: Build services for onboarding and managing data teams with intuitive UIs.
- Observability: Create platforms for processing logs and telemetry to enable data-driven engineering.
- Service Platform: Provide libraries, tools, and deployment platforms across clouds.
- Core Infra: Build highly available distributed systems with Kubernetes across regions.
Requirements
- BS/MS/PhD in Computer Science or related field
- 10+ years of production experience in Java, Scala, C++, or similar
- Comfortable working toward 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 (AWS, Azure, GCP, Docker, Kubernetes)
Skills
Scala, Java, Spark, Apache Kafka, Kubernetes, AWS, Azure, Docker, SQL, Terraform
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