Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise.
We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.
We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.
So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.
This posting reflects an approved, open position within the organization.
The Quality Engineering team builds the shared testing infrastructure and quality tooling that Scribd Inc.’s engineering teams rely on to ship with confidence. We partner closely with frontend and platform engineers across the organization, and our work spans both the existing monolithic codebase and the emerging microfrontend architecture.
We are looking for a Senior Software Engineer, Quality Engineering to own and scale the quality infrastructure that supports our web engineering organization as we transition from a monolithic application toward smaller, independently tested and deployed surface areas — including microfrontends.
This is not a role that waits for the architecture to arrive. Today, the majority of our web development still happens in the monolith, and the first microfrontends are just reaching production. You will build quality platform capabilities that serve engineers where they are now — improving test ownership, reliability, and developer productivity across the current codebase — while designing the patterns and tooling that scale as the architecture becomes more distributed.
You will also play a central role in implementing how AI reshapes quality engineering at Scribd, Inc. This means both enabling teams to use AI effectively for testing workflows and ensuring that deterministic quality guardrails keep pace as agentic development accelerates code output across the organization.
You will write code, ship tooling, and solve hard technical problems. You will also help establish standards, mentor engineers, and drive adoption of quality practices across multiple teams.
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 — creating a path toward higher-confidence autonomous code generation over time
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 — ensuring that automated checks, contract tests, and regression gates keep pace as AI accelerates code velocity
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 — not just what AI can do today, but what verification and feedback systems are needed as autonomous code generation matures
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
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
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
Our architecture is evolving, and quality cannot scale through a small number of broad end-to-end checks owned by a handful of people. We need a quality platform that gives every team fast feedback, clear ownership, and confidence to ship independently.
At the same time, AI is fundamentally changing how code gets written — and the trajectory points toward AI agents that don't just assist engineers but autonomously produce and ship code. As that future gets closer, the need for strong, deterministic quality infrastructure becomes more urgent, not less. We need feedback loops tight enough for agents to validate their own work, and verification layers robust enough that we can confidently reduce the human in the loop over time. We’re early in this shift, and this role will shape how we get there pragmatically — building verification layers incrementally as AI capabilities mature.
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At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.
In the state of California, the reasonably expected salary range is between $155,000 [minimum salary in our lowest geographic market within California] to $228,000 [maximum salary in our highest geographic market within California].
In the United States, outside of California, the reasonably expected salary range is between $127,000 [minimum salary in our lowest US geographic market outside of California] to $217,000 [maximum salary in our highest US geographic market outside of California].
In Canada, the reasonably expected salary range is between $162,000 CAD [minimum salary in our lowest geographic market] to $202,000 CAD [maximum salary in our highest geographic market].
We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.
Are you currently based in a location where Scribd, Inc. can employ you?
Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:
United States:
Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.
Canada:
Ottawa | Toronto | Vancouver
Mexico:
Mexico City
Benefits at Scribd, Inc.
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
Get to Know Scribd, Inc.
About Scribd, Inc.
Life at Scribd, Inc.
We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing [email protected] about the need for adjustments at any point in the interview process.
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Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
