Senior Software Engineer Application Traffic Team
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 design and build service-to-service communication systems for a multi-cloud environment. You will develop ingress control-plane capabilities, service discovery and load-balancing mechanisms, networking abstractions, and rate-limiting and admission-control systems for reliable performance at scale.
Requirements
- Bachelor's degree or higher in Computer Science or a related field
- 5+ years designing and building large-scale distributed systems
- Proficiency in Java, Scala, Go, C++, or a similar language
- Experience with service-oriented architectures and distributed systems
- Familiarity with AWS, Azure, GCP, Kubernetes, and Docker
- Experience shipping infrastructure for mission-critical workloads at scale
- Background in service discovery, DNS, load balancing, Envoy, or related networking systems
Responsibilities
- Build the control plane for the global ingress layer
- Enable API gateway programming with static and dynamic endpoints
- Design service discovery and load-balancing mechanisms across clusters
- Provide networking abstractions for product teams
- Build rate-limiting and admission-control systems
- Ensure reliable and predictable performance for customer-facing and internal workloads
Benefits
- Eligibility for annual performance bonus
- Equity