Senior Software Engineer (Frontend), Search

Scribd, Inc.•Vancouver, BC

4d•$124,000 - $226,000•Hybrid

About The Position

The Discovery Applications team is part of Scribd’s Machine Learning and Discovery Engineering Division, focusing on building customer-facing web experiences for search, recommendations, and generative AI features. This full-stack team develops and owns the end-to-end discovery experience across Scribd and Everand, transforming machine learning capabilities into intuitive features. Joining this team means playing a key role in delivering the user value of pioneering machine learning work and creating tangible impacts through exceptional user experiences.

Requirements

6+ years of professional frontend software engineering experience
Deep experience with JavaScript/TypeScript and React
Hands-on experience with Next.js or similar modern web frameworks
Familiarity with Microfrontend architectures, monorepos, or shared frontend platforms
Strong understanding of web performance, bundling, and optimization techniques
Experience collaborating with backend and platform teams to define clean integration patterns
Comfort operating in environments with high traffic, high visibility, and real user impact
Comfortable working in a codebase with shared patterns (monorepos, shared UI libraries, or platform constraints) and collaborating across teams
Excellent written and verbal communication; thrives in a remote, documentation-driven culture
Highly collaborative: partners closely with product, design, and backend to deliver end-to-end features
Strong ownership mindset, taking responsibility for frontend systems from design through long-term evolution
Strong systems thinking, with the ability to reason about frontend architecture at scale
Pragmatic approach to modernization, balancing ideal solutions with incremental, low-risk progress
Strong collaboration skills and comfort working closely with both product and platform teams.
Long-term perspective on maintainability, extensibility, and developer experience

Nice To Haves

Experience working with or migrating large, complex, or legacy frontend codebases
Experience modernizing frontend systems in production, not just greenfield projects
Thinking about frontend architecture as a product for other engineers, not just a delivery mechanism
Considering performance, accessibility, SEO, quality, and observability as first-class concerns
Investing in testing and quality practices that make large-scale migrations safe and repeatable
Enjoying untangling complexity and leaving systems better than you found them
Caring deeply about how technical decisions affect both developers and end users

Responsibilities

Build the user-facing experiences powered by Machine Learning and Generative AI.
Contribute to full-cycle software development, including advising on technical design, reviewing code, participating in interviews, and mentoring engineers.
Contribute to the code strategy, architecture, implementation, delivery, and operation of systems end-to-end, considering testability, upgradeability, scalability, and observability.
Collaborate closely with backend and ML engineers to build the complete product.
Communicate effectively in meetings and asynchronously via Slack to drive success.

Benefits

Scribd Flex (flexible work model)
Comprehensive health, dental, and vision coverage
Mental health support and disability coverage
Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
Paid parental leave and family support benefits
Retirement matching and employee equity
Learning and development programs and professional growth opportunities
Wellness and home office stipends
Complimentary access to the Scribd, Inc. suite of products
Enterprise access to leading AI tools