Software Engineer, Trust & Safety Engineering (Backend)

DoorDash Brazil
São Paulo
BRL 80.000 - 120.000
Descrição da oferta de emprego

DoorDash is building the world's most reliable on-demand logistics engine for delivery! We're looking for talented engineers to join our fast-growing engineering team in our brand new engineering hub in São Paulo to help us develop the most secure, trustworthy, and safe marketplaces for DoorDash consumers, merchants, and dashers.

About the Role

DoorDash is looking for Software Engineers to join our Trust & Safety team. This dedicated group is entrusted with empowering both external DoorDash customers and internal users through a comprehensive catalog of Trust and Safety features, focusing on authenticity, eligibility, compliance, and beyond.

As a Software Engineer, you will collaborate closely with other high-caliber engineers within an international team and cross-functional stakeholders to propel the group forward. Leveraging the latest technological advancements, including Gen AI, you will build a best-in-class Trust and Safety experience on one of the largest gig platforms in the world.

Quick Fact: recently, the Trust & Safety team achieved a significant reduction in post-delivery safety incidents by using AI to monitor conversations between consumers and dashers. This means we will protect thousands of users from seeing inappropriate messages on their phones each year.

You're excited about this opportunity because you will...

  • Develop, release, and run large-scale services and features used by millions of users across the globe.
  • Develop and define the backend architecture and tech stack for guaranteeing our users have a safe and trustworthy experience.
  • Improve performance, reliability, scalability, and security for our trust and safety platform.

We're excited about you because you have...

  • B.S., M.S., or PhD. in Computer Science or equivalent.
  • 3+ years of industry experience.
  • Prior experience working with backend tech stacks.
  • Interviews will be conducted in English.

Nice To Haves

  • Experience with big data or large-scale distributed microservices and systems.
  • Experience with Java/Kotlin tech stack.
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