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 contribute to backend engineering across areas including log analytics, AI and business intelligence, business semantics, and applications. You will work on large-scale distributed systems, data modeling, governance, AI enablement, platform components, networking, runtime and proxy technologies, and application-builder agents.
Requirements
- Experience with Java, Scala, or C++
- Strong foundation in algorithms and data structures
- Experience developing large-scale distributed systems
- Experience with a SaaS platform or service-oriented architectures
- Experience with AWS, Azure, GCP, Docker, or Kubernetes
- Experience with security and systems handling sensitive data
- Knowledge of SQL
Responsibilities
- Develop backend systems for data and AI products
- Work on large-scale distributed systems
- Build products across log analytics, AI and business intelligence, business semantics, or applications
- Work with platform components, networking, runtime, and proxy technologies
Benefits
- Annual performance bonus eligibility
- Equity eligibility