Senior Software Engineer Networking
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 9/23/2026
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 design and automate networking foundations for large-scale compute clusters across major cloud providers. You will lead the development of secure, scalable connectivity for data and AI workloads, collaborate with product, operations, and engineering partners, and deliver robust networking systems.
Requirements
- 5+ years of production-level experience with Python, Java, Scala, C++, or a similar language
- 4+ years of experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with service-oriented architectures
- Extensive experience with large-scale compute clusters, network connectivity, and automation
Responsibilities
- Design and automate networking foundations for large-scale compute clusters across major cloud providers
- Lead the design and development of secure and scalable connectivity for data and AI workloads
- Collaborate with product management, operations, and engineering teams to deliver robust networking systems
Benefits
- Annual performance bonus eligibility
- Equity eligibility