Staff Software Engineer - Backend
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will prioritize, design, implement, test, and operate platform microservices. You will build distributed systems, data pipelines, and cloud integrations, contributing to infrastructure, storage, observability, service platforms, or machine learning systems.
Requirements
- BS, MS, or PhD in Computer Science or a related field
- 10+ years of production-level experience with Java, Scala, C++, or a similar language
- Experience architecting, developing, deploying, and operating large-scale distributed systems
- Experience working on a SaaS platform or with service-oriented architectures
- Knowledge of SQL
- Experience with software security and sensitive-data systems
- Experience with AWS, Azure, GCP, Docker, or Kubernetes
Responsibilities
- Prioritize, design, implement, test, and operate platform microservices
- Write software in Scala and Java
- Build data pipelines with Apache Spark and Apache Kafka
- Integrate with third-party applications and cloud APIs
- Architect, develop, deploy, and operate large-scale distributed systems
- Build reliable, scalable, and secure services and infrastructure
Benefits
- Eligibility for annual performance bonus
- Equity