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Staff Software Engineer

Doordashusa
4 days ago
Full-time
Remote
Worldwide
Remote Engineering

About the Team

The Security Enablement Engineering (SEE) team builds the software platforms and automation systems that support DoorDash’s Security Engineering organization. Our mission is to scale security capabilities through reliable engineering solutions that integrate seamlessly across the company.

SEE focuses on developing internal services, APIs, and automation that power critical security functions such as access management, infrastructure, and global security engineering operations. By building reusable systems and standardized integrations, the team reduces manual work and improves how security capabilities are delivered across the organization.

SEE engineers collaborate closely with Security Engineering, Infrastructure, and Product Engineering teams to translate operational needs into scalable technical solutions that improve reliability, efficiency, and visibility across the security ecosystem.

About the Role

As a Staff Software Engineer on the Security Enablement Engineering team, you will architect and build scalable software solutions that simplify complex security workflows, integrate global security technologies, and improve operational efficiency for security teams. This includes designing microservices, building automation pipelines, and developing APIs that enable secure integrations across infrastructure, applications and safety systems.

In this role, you will guide technical direction, lead architectural decisions, and mentor engineers while helping establish engineering standards that improve developer productivity and scalability across the security ecosystem.

This is a remote position based in the United States and reports to the Security Enablement Engineering Manager.

We’re excited about you because…

  • 8+ years of experience as a software engineer in platform engineering, infrastructure engineering, or security engineering disciplines.
  • Proven experience designing and operating distributed systems and microservices in large scale production environments.
  • Strong ex