P-78
At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from advancing AI research to powering next-generation applications. We do this by building and operating the worlds best data and AI infrastructure platform. Founded by engineers and driven by customer obsession we embrace the hardest technical challenges whether its scaling distributed systems across multiple clouds or delivering reliable low-latency communication between thousands of services. And were only getting started.
As a Senior Software Engineer on the Application Traffic team you will design and build the systems that power Databricks service-to-service communication across thousands of clusters in a multi-cloud environment. You will also help create abstractions that hide networking complexity from product teams making connectivity discovery and reliability seamless by default.
The impact youll have:
Youll 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 dont 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.
What we look for:
- 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
Required Experience:
Senior IC
P-78At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from advancing AI research to powering next-generation applications. We do this by building and operating the worlds best data and AI infrastructure platform. Founded by engineers and driven by custom...
P-78
At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from advancing AI research to powering next-generation applications. We do this by building and operating the worlds best data and AI infrastructure platform. Founded by engineers and driven by customer obsession we embrace the hardest technical challenges whether its scaling distributed systems across multiple clouds or delivering reliable low-latency communication between thousands of services. And were only getting started.
As a Senior Software Engineer on the Application Traffic team you will design and build the systems that power Databricks service-to-service communication across thousands of clusters in a multi-cloud environment. You will also help create abstractions that hide networking complexity from product teams making connectivity discovery and reliability seamless by default.
The impact youll have:
Youll 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 dont 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.
What we look for:
- 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
Required Experience:
Senior IC
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