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About the Role
We are looking for a Staff Backend Engineer to lead the technical vision and strategy for our notification experience at massive scale. You will drive the architecture and strategy for our notification system, making notifications smarter, more timely, and more relevant for millions of customers. This role requires deep understanding of distributed systems, AI fluency, and a product-minded approach to technical leadership.
Responsibilities
- Define and own the multi-quarter technical strategy for notification hub and experience team.
- Architect the notification system and experience, moving from campaign centric notification to an integrated personalized system that reasons over the entire user notification lifecycle.
- Make high-quality architectural decisions across relevance, latency, and system complexity.
- Raise the engineering excellence bar for the Notification Hub & Experience team and consistently identify and drive areas for improvement.
- Partner with cross functional teams to integrate intelligence and evolve the system over time.
- Build and ship notification system at massive scale with smart and personalized experience.
- Identify opportunities in notification system and lifecycle to drive larger business impact.
- Prototype quickly to explore new ideas, while knowing when to invest in more durable systems.
- Stay current with emerging AI tools, models, and harness, and bring them into the team where they create leverage.
- Help define whole system architecture and experimentation approaches for personalized notification system.
- Translate product goals into clear technical approaches and measurable outcomes.
- Own the impact of your work, including engagement and user experience metrics.
- Demonstrate product thinking alongside technical depth. PMs and EMs should view you as a co-owner of the Notifications domain, not just the technical executor.
- Partner with product, design, data science, and infrastructure teams to shape strategy and resolve ambiguous, high-stakes technical decisions.
- Lead project coordination across engineers and multiple workstreams simultaneously; own timelines, dependencies, and stakeholder communication.
- Collaborate with Product, Design, and Marketing to help align notification strategies across different surfaces and use cases.
- Eliminate single points of failure, including yourself through proactive documentation, knowledge transfer, and building durable systems and processes.
- Mentor and grow E4/E5 engineers through design reviews, code reviews, and direct coaching; take accountability for their technical development.
- Act as a force multiplier by uplifting the team's technical skill set in AI fluency and high-scale backend engineering.
- Raise the technical bar for the team.
- Own end-to-end reliability of notification delivery; drive SLA improvements, reduce latency, and eliminate systemic failure modes across a high-throughput distributed infrastructure.
- Champion observability, operational hygiene, and developer productivity improvements across the team.
Requirements
- 7+ years of backend engineering experience with clear, demonstrated Staff-level impact - you have driven large, ambiguous, cross-functional projects with org-wide or company-wide outcomes.
- Strong proficiency in one or more backend languages (Go, Java, Python, C++, Kotlin or similar).
- Deep experience designing and scaling distributed systems that handle a massive volume of events per day.
- Ability to operate at multiple altitudes: from long-horizon technical strategy down to precise system design, without losing sight of the business outcome.
- Strong written and verbal communication; able to drive alignment across engineering, product, and leadership without formal authority.
- AI-Fluent and have deep experience applying AI in the software development.
- Product-Minded and think in terms of business impact.
- Experience building notification, messaging, or communications platforms at scale.
- Proven background integrating ML/AI systems in production - model serving, feature pipelines, real-time inference, or experimentation infrastructure.
- Familiarity with recommendation, or personalization systems.
- Experience with LLM integration in production services.
Skills
- Distributed systems
- AI fluency
- Product-minded approach
- Backend engineering
- Go
- Java
- Python
- C++
- Kotlin
- System design
- Communication
- ML/AI systems integration
- Recommendation systems
- Personalization systems
- LLM integration
Location
- Remote (associated with office in NYC)
Work Type
- Full-time
Experience Level
- Staff-level
Salary/Compensations
- $120,000—$150,000 CAD
- $149,500—$187,000 CAD
- $185,000—$231,500 CAD
Benefits
- Equity grants
- Paid time off
- Paid parental leave
- Wellness benefit
- Several paid holidays
- Medical benefits
- Dental benefits
- Vision benefits
- Disability insurance
- Basic life insurance
- RRSP including an employer match
- Mental health program
- Premium healthcare
- Wellness expense reimbursement
About the Company
- At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers.
- We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
- DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers.
- We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Equal Opportunity
- We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
- If you need any accommodations, please inform your recruiting contact upon initial connection.