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Senior Software Engineer - Application Traffic team

Databricks· Engineering
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Mountain View, CA$166k - $225kFull-timePosted 11mo ago

About the role

Senior Software Engineer on the Application Traffic team at Databricks, designing and building systems that power service-to-service communication across thousands of clusters in a multi-cloud environment, and creating abstractions to simplify networking for product teams.

Responsibilities

  • Design and build the systems that power Databricks’ service-to-service communication across thousands of clusters in a multi-cloud environment
  • Create abstractions that hide networking complexity from product teams, enabling connectivity, discovery, and reliable operation by default
  • Work across three key areas: Ingress Control Plane, Service-to-Service Communication, and Overload Protection
  • Build the control plane for the global ingress layer and enable programming of API gateways with static and dynamic endpoints
  • Design scalable mechanisms for service discovery and load balancing across thousands of clusters
  • Implement intelligent rate limiting and admission control to protect critical services under high load

Qualifications

  • BS (or higher) in Computer Science or related field
  • 5+ years of experience designing and building large-scale distributed systems
  • Strong proficiency in 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

Skills

Required:JavaCloud platformsKubernetesDocker
Nice to have:ScalaGoC++

Benefits

  • Benefits details available in regional doc linked by Databricks (region-specific)
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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