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# Senior Software Engineer - Application Traffic team

- **Company:** Databricks
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $166,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, C++ (Programming Language), Cloud Computing, Distributed Systems, Domain Name System (DNS), Network Control, Service-Oriented Architecture, Service Discovery, Software Engineering, Google Cloud, Load Balancing, Kubernetes, Information Technology, Api Gateway, Docker, Databricks
- **Published:** May 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dc893f4e11c92275

## About the Role

Do you have experience in Software engineering?, Do you have a Bachelor's degree?, * BS (or higher) in Computer Science or related field

 * 5+ years of experience designing and building large-scale distributed systems
 * Strong proficiency in one or more languages such as Java, Scala, Go, or C++
 * Experience with service-oriented architectures and large scale distributed systems
 * Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker)
 * Track record of shipping infrastructure that supports mission-critical workloads at scale

Preferred: background in service discovery, DNS, load balancing, Envoy, or related networking systems

Pay Range Transparency

## Description

You'll work across three key areas that define Databricks' networking stack:

 * Ingress Control Plane: Build the control plane for Databricks' global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds.
 * Service-to-Service Communication: Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don't need to worry about underlying connectivity details.
 * Overload Protection: Build intelligent rate limiting and admission control systems to protect critical services under high load. Ensure reliability and predictable performance for both customer-facing and internal workloads.


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