Staff Software Engineer, Traffic

The posting, as DoorDash wrote it

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. This role is hybrid working from one of our engineering hubs based in the San Francisco Bay Area, Seattle or New York

You’re excited about this opportunity because you will…

• 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

We’re excited about you because…

• You have 8+ years of experience as a software engineer in infrastructure, networking, or platform engineering.
• Experience with Programming Languages like Go, C++, Python or Rust
• Experience with AWS and Kubernetes
• Background working on and debugging high-QPS or latency-sensitive systems
• You are curious, independent, ambitious, and can find solutions and make progress in an ambiguous and challenging environment
• You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software

Bonus points if you…

• 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, Load Balancing
• Experience building RPC frameworks or client-side networking libraries
• Experience with AWS Networking Primitives like Loa

[…]
success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Metaview.

How it works: Metaview assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Metaview or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy https://help.doordash.com/en-us/legal/article/ax-privacy-notice and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Metaview is publicly available for review at https://trust.warden-ai.com/metaview/application-review .