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.
Maintainer signals as of 9/24/2026
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 work with engineering and product management to prioritize, design, implement, test, and operate backend microservices. You will write Scala or Java software, build data pipelines, integrate third-party applications, and work with cloud APIs for the Databricks platform.
Requirements
- BS, MS, or PhD in Computer Science or a related field
- 10+ years of production experience with Java, Scala, C++, or a similar language
- Experience architecting, developing, deploying, and operating large-scale distributed systems
- Experience with SaaS platforms or service-oriented architectures
- Knowledge of SQL
- Experience with software security and systems handling sensitive data
- Experience with AWS, Azure, GCP, Docker, or Kubernetes
Responsibilities
- Prioritize, design, implement, test, and operate platform microservices
- Write software in Scala or Java
- Build data pipelines using Apache Spark and Apache Kafka
- Integrate third-party applications
- Interact with AWS, Azure, CloudFormation, and Terraform APIs
Benefits
- Annual performance bonus eligibility
- Equity eligibility