Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Staff Software Engineer, Notification Hub & Experience role.

Rezi rewrites your resume against DoorDash Canada's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Staff Software Engineer, Notification Hub & Experience posting at DoorDash Canada — free, in seconds.

About the Role

We are looking for a Staff Backend Engineer to lead the technical vision and architecture for our notification system. You will drive the transition to a personalized, AI-driven experience at massive scale, ensuring notifications are timely, relevant, and impactful for millions of customers. This role requires deep expertise in distributed systems, AI, and product-minded technical leadership.

Responsibilities

Define and own the multi-quarter technical strategy for the notification hub and experience team.
Architect the notification system and experience, evolving from campaign-centric to an integrated personalized system.
Make high-quality architectural decisions regarding relevance, latency, and system complexity.
Raise the engineering excellence bar for the team and drive improvements.
Partner with cross-functional teams to integrate intelligence and evolve the system.
Build and ship notification systems at massive scale with smart, personalized experiences.
Identify opportunities within the notification system and lifecycle to drive business impact.
Prototype quickly to explore new ideas and invest in durable systems.
Stay current with emerging AI tools and models, integrating them where they create leverage.
Help define whole system architecture and experimentation approaches for personalized notification systems.
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, acting as a co-owner of the Notifications domain.
Partner with product, design, data science, and infrastructure teams to shape strategy and resolve ambiguous technical decisions.
Lead project coordination across engineers and multiple workstreams, owning timelines, dependencies, and stakeholder communication.
Collaborate with Product, Design, and Marketing to align notification strategies across different surfaces and use cases.
Eliminate single points of failure through documentation, knowledge transfer, and building durable systems.
Mentor and grow engineers through design reviews, code reviews, and direct coaching.
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, driving SLA improvements, reducing latency, and eliminating systemic failure modes.
Champion observability, operational hygiene, and developer productivity improvements.

Requirements

7+ years of backend engineering experience with demonstrated Staff-level impact on 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 to precise system design, without losing sight of the business outcome.
Strong written and verbal communication skills, able to drive alignment across engineering, product, and leadership without formal authority.
AI-Fluent with deep experience applying AI in software development.
Product-Minded with a focus on business impact.
Experience building notification, messaging, or communications platforms at scale (Preferred).
Proven background integrating ML/AI systems in production (model serving, feature pipelines, real-time inference, or experimentation infrastructure) (Preferred).
Familiarity with recommendation or personalization systems (Preferred).
Experience with LLM integration in production services (Preferred).

Skills

Distributed systems
AI fluency
Backend engineering
System design
Technical strategy
Product development
Machine learning
AI integration
LLM integration
Recommendation systems
Personalization systems
Go
Java
Python
C++
Kotlin

Location

Remote (associated with office in NYC)

Work Type

Full-time

Experience Level

Staff-level

Salary/Compensations

$185,000—$231,500 CAD

Benefits

Opportunities for 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

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.