Senior Software Engineer - Quality Platform

Scribd, Inc.•Vancouver, BC

7d•Hybrid

About The Position

Scribd, Inc. is looking for a Senior Software Engineer, Quality Platform to own and scale the quality infrastructure that supports their web engineering organization. This role is crucial as the company transitions from a monolithic application to smaller, independently tested and deployed surface areas, including microfrontends. The engineer will build quality platform capabilities for the current monolithic codebase while designing patterns and tooling for a more distributed architecture. A key aspect of the role involves integrating AI into quality engineering, enabling teams to use AI for testing workflows and ensuring deterministic quality guardrails keep pace with accelerated code output from agentic development. The role requires writing code, shipping tooling, solving technical problems, establishing standards, mentoring engineers, and driving the adoption of quality practices across multiple teams.

Requirements

Strong software engineering background with deep expertise in frontend architecture and automated testing.
Hands-on proficiency in JavaScript/TypeScript and modern frontend frameworks.
Experience designing and scaling testing strategies for large, evolving web applications — particularly through significant architectural transitions (monolith decomposition, modularization, platform migrations, or similar).
Experience using or evaluating AI-powered engineering tools, with the ability to think critically about what an agentic development workflow demands from quality infrastructure.
Solid understanding of the testing pyramid: unit, component, integration, contract, and end-to-end layers, and strong opinions on where investment should go.
Experience with modern testing tools such as Playwright, Cypress, WebdriverIO, Jest, Testing Library, or similar.
Track record of building shared frameworks, tooling, or platform capabilities adopted by multiple engineering teams.
Strong knowledge of CI/CD pipelines, test reliability, and release quality practices.
Ability to work cross-functionally and influence engineering practices through strong technical judgment and collaboration.
Excellent communication skills and the ability to translate technical strategy into practical, adoptable engineering standards.

Nice To Haves

Experience with microfrontend architecture, module federation, or other distributed frontend architectures.
Experience with contract testing or interface validation strategies (e.g., Pact).
Familiarity with accessibility testing, visual regression testing, or frontend observability.
Background in platform engineering, developer productivity, or quality engineering roles.
Hands-on experience with AI-first developer workflows, agentic coding tools, prompt-driven engineering, or building internal tooling and feedback loops that leverage LLMs for code generation and validation.

Responsibilities

Define and drive a scalable testing strategy that supports the migration from monolithic to independently deployable frontend surface areas.
Build shared frameworks, tooling, templates, and utilities that improve test authorship speed, reliability, and consistency across teams.
Shift test coverage toward more effective layers (unit, component, integration, contract) and reduce reliance on brittle, high-maintenance end-to-end suites.
Establish clear test ownership models so teams can independently validate their surface areas with confidence.
Design and implement CI/CD quality gates that balance speed with release confidence.
Partner with frontend and platform engineers to improve system testability early in design and implementation.
Build and instrument quality metrics that give engineering leadership actionable visibility into risk, reliability, and release readiness.
Design and build feedback loops and verification layers that enable AI agents to validate the code they produce.
Identify and implement high-value applications of AI in the testing lifecycle: test generation, impact analysis, failure triage, test maintenance, and coverage gap detection.
Build tooling, deterministic guardrails, and best practices that help engineering teams use agentic development responsibly.

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