Staff Software Engineer, Traffic

About the Team

Help us build the world's most reliable, on-demand logistics engine for last-mile delivery! We're bringing on experienced engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.

About the Role

We are looking for experienced engineers to join the Traffic team and help build the next generation of DoorDash’s Traffic platform. Our team develops and operates the critical traffic infrastructure that powers communication between thousands of services across multiple regions, as well as the ingress systems that handle external traffic entering the DoorDash platform.

You will work on core components of our traffic stack, including the Envoy Data Plane, xDS control planes and proxyless architecture. This role sits at the intersection of distributed systems, networking, and large-scale infrastructure. This role includes designing, building, and maintaining systems that must operate reliably and efficiently across some of the most critical and latency-sensitive workloads at DoorDash.

You will report to the Engineering Manager of the Traffic Team within the Infrastructure organization.

Responsibilities

• Design and build large-scale distributed systems that are high RPS and latency sensitive
• Troubleshoot, debug, and fix issues that affect production and maintain our SLAs
• Work collaboratively with other platform and product engineers to deliver on feature requests and solve their problems
• Find ways to improve the team’s productivity and operational capabilities through the use of automation, AI tools, and other avenues
• Participate in a shared on-call and support rotation and lead production investigations and incidents

Qualifications

Required

• 8+ years of experience as a software engineer in infrastructure, networking, or platform engineering
• Experience with programming languages such as Go, C++, Python, or Rust
• Experience with AWS and Kubernetes
• Background working on and debugging high-QPS or latency-sensitive systems
• Proven ability to find solutions and make progress in an ambiguous and challenging environment
• Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) across the full software development lifecycle

Bonus Points

• Experience with service mesh technologies such as Envoy, Istio, or Linkerd
• Familiarity with xDS or control plane architectures
• Solid understanding of networking fundamentals like TCP/IP, HTTP, HTTP/2, gRPC, and Load Balancing
• Experience building RPC frameworks or client-side networking libraries
• Experience with AWS Networking Primitives (e.g., Load Balancers, PrivateLink)
• Experience with Infrastructure as Code tooling like Terraform
• Experience with GitOps delivery tooling such as ArgoCD, Helm, Atlantis