Staff Backend Engineer - Personalization & Notification Hub

DoorDash, Inc.; Toronto; Presencial; CAD 185 000 - 232 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity grants

Premium healthcare

Paid parental leave

Wellness reimbursement

RRSP employer match

Resumo da oferta

DoorDash, Inc. in Toronto is hiring a Staff Backend Engineer for the Notification Hub & Experience. You will lead architecture for a scalable, personalized notification system, balancing immediacy with long-term reach.

This role demands deep experience with distributed systems, AI fluency, and a product-minded leadership style. You will drive cross-functional initiatives, mentor engineers, and own end-to-end reliability and performance at massive scale.

Qualificações

• 7+ years backend engineering experience with staff-level impact.
• Proficiency in Go/Java/Python/C/C++/Kotlin or similar.
• Experience designing and scaling distributed systems.
• Ability to align technical work with business outcomes.
• AI fluency and product-minded approach.
• Strong written and verbal communication.

Responsabilidades

• Define multi-quarter technical strategy for notification hub and experience.
• Architect the notification system for personalized, scalable delivery.
• Raise engineering excellence and drive cross-functional improvements.
• Build and ship large‑scale notification systems with personalized experiences.
• Partner with product, design, data science and infra teams.
• Mentor engineers and improve reliability, observability, and speed.

Conhecimentos

Go

Java

Python

C++

Kotlin

Distributed systems

AI fluency

Communication

Descrição da oferta de emprego

DoorDash, Inc. in Toronto is hiring a Staff Backend Engineer for the Notification Hub & Experience. You will lead architecture for a scalable, personalized notification system, balancing immediacy with long-term reach.

This role demands deep experience with distributed systems, AI fluency, and a product-minded leadership style. You will drive cross-functional initiatives, mentor engineers, and own end-to-end reliability and performance at massive scale.