Senior Staff Software Engineer Network Platform
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 9/25/2026
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 define the technical vision and architecture for network connectivity and observability services operating across multiple clouds. You will own the design of large-scale platforms connecting the control plane and compute plane, improve infrastructure scalability and reliability, lead cross-team initiatives, and mentor senior engineers. You will translate long-term goals into durable networking systems and influence architecture and execution across teams.
Requirements
- 15+ years of production-level experience with Rust, Java, Scala, C++, or a similar language
- 10+ years of experience developing large-scale distributed systems from scratch
- Experience with SaaS platforms or service-oriented architectures
- Experience with cloud networking, Kubernetes, infrastructure automation languages, Terraform, or CloudFormation
Responsibilities
- Define the technical vision and architecture for network connectivity and observability services
- Design and lead large-scale connectivity platforms between the control plane and compute plane
- Improve the scalability, reliability, and efficiency of compute infrastructure
- Set technical direction and lead complex cross-team initiatives
- Mentor senior engineers
- Translate long-term business goals into durable, extensible networking systems
- Influence architecture and execution across teams