DoorDash USA
Software Engineer, Traffic
About this role
Join DoorDash's Traffic team to design and operate critical infrastructure that handles communication between thousands of services at massive scale. You'll work on Envoy, xDS control planes, and proxyless architecture while ensuring 24/7 reliability for latency-sensitive logistics systems.
What you'll do
- Design and build large-scale distributed systems handling high request rates and latency-sensitive workloads
- Troubleshoot and fix production issues while maintaining SLAs across critical traffic infrastructure
- Collaborate with platform and product engineers to deliver feature requests and solve technical problems
- Participate in shared on-call rotation and lead production incident investigations
- Improve team productivity through automation, AI tools, and operational enhancements
- Develop and maintain Envoy Data Plane, xDS control planes, and proxyless architecture components
What they're looking for
- Go, C++, Python, or Rust programming
- AWS and Kubernetes expertise
- Distributed systems design and debugging
- High-QPS and latency-sensitive system optimization
- Service mesh technologies (Envoy, Istio, Linkerd)
- TCP/IP, HTTP/2, gRPC, and load balancing fundamentals
- AI coding tools proficiency (Claude, Codex, Cursor)
- Infrastructure as Code (Terraform) and GitOps tools (ArgoCD, Helm)
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DoorDash USA
DoorDash USA is building autonomous delivery systems including drones and robots, along with internal infrastructure platforms to support large-scale operations. The company is hiring robotics engineers, autonomous systems specialists, infrastructure engineers, and platform software engineers to develop flight control systems, mapping and localization capabilities, and distributed computing platforms.
View all jobs at DoorDash USALikely interview questions
- Describe your experience designing and debugging high-QPS or latency-sensitive systems in production environments.
- Walk us through how you've used service mesh technologies like Envoy or Istio in previous roles.