Senior Software Engineer - Quality Platform
Scribd, Inc., San Francisco, CA, United States
Culture at Scribd, Inc.
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 from access to insight, application, and expertise.
We support a culture where employees can be real and 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. 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.
We hire for GRIT — the intersection of passion and perseverance toward long-term goals. GRIT also serves as a practical framework: setting and achieving Goals, delivering Results, contributing Innovative ideas, and strengthening the broader Team through collaboration and attitude.
This posting reflects an approved, open position within the organization.
About the Team
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 with frontend and platform engineers across the organization, and our work spans the existing monolithic codebase and the emerging microfrontend architecture.
About the Role
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 role focuses on building quality platform capabilities that serve engineers where they are now, improving test ownership, reliability, and developer productivity across the current codebase while designing 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., enabling teams to use AI effectively for testing workflows and ensuring deterministic guardrails keep pace as agentic development accelerates code output.
You will write code, ship tooling, and solve hard technical problems. You will help establish standards, mentor engineers, and drive adoption of quality practices across multiple teams.
What You\'ll Do
Quality Platform & Test Ownership
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
Agentic Quality Engineering
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
What We\'re Looking For
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 agentic development workflows and verification/feedback systems for autonomous code generation
Solid understanding of the testing pyramid: unit, component, integration, contract, and end-to-end layers, with clear opinions on where to invest
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 technical judgment and collaboration
Excellent communication skills and the ability to translate technical strategy into practical 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
Nice to Have
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
Why This Role Matters
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.
As AI advances, the need for strong, deterministic quality infrastructure becomes more urgent. This role will shape how we implement verification layers and AI-enabled quality practices pragmatically, building incrementally as 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 local benchmarks for each role, level, and location. San Francisco is our highest geographic market in the United States.
In California, the reasonably expected salary range is between $155,000 (minimum) and $228,000 (maximum). In the United States outside of California, it is between $127,000 (minimum) and $217,000 (maximum). In Canada, the range is between $162,000 CAD (minimum) and $202,000 CAD (maximum). We consider a wide range of factors when determining compensation. This position is eligible for equity and a comprehensive benefits package.
Working at Scribd, Inc.
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 (surrounding metro areas acceptable):
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.
If you require accommodations during the interview process, please email accommodations@scribd.com. Scribd, Inc. is an equal employment opportunity employer. We encourage people of all backgrounds to apply and believe that diversity of perspectives leads to better ideas.
#J-18808-Ljbffr
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 from access to insight, application, and expertise.
We support a culture where employees can be real and 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. 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.
We hire for GRIT — the intersection of passion and perseverance toward long-term goals. GRIT also serves as a practical framework: setting and achieving Goals, delivering Results, contributing Innovative ideas, and strengthening the broader Team through collaboration and attitude.
This posting reflects an approved, open position within the organization.
About the Team
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 with frontend and platform engineers across the organization, and our work spans the existing monolithic codebase and the emerging microfrontend architecture.
About the Role
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 role focuses on building quality platform capabilities that serve engineers where they are now, improving test ownership, reliability, and developer productivity across the current codebase while designing 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., enabling teams to use AI effectively for testing workflows and ensuring deterministic guardrails keep pace as agentic development accelerates code output.
You will write code, ship tooling, and solve hard technical problems. You will help establish standards, mentor engineers, and drive adoption of quality practices across multiple teams.
What You\'ll Do
Quality Platform & Test Ownership
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
Agentic Quality Engineering
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
What We\'re Looking For
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 agentic development workflows and verification/feedback systems for autonomous code generation
Solid understanding of the testing pyramid: unit, component, integration, contract, and end-to-end layers, with clear opinions on where to invest
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 technical judgment and collaboration
Excellent communication skills and the ability to translate technical strategy into practical 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
Nice to Have
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
Why This Role Matters
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.
As AI advances, the need for strong, deterministic quality infrastructure becomes more urgent. This role will shape how we implement verification layers and AI-enabled quality practices pragmatically, building incrementally as capabilities mature.
---
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 local benchmarks for each role, level, and location. San Francisco is our highest geographic market in the United States.
In California, the reasonably expected salary range is between $155,000 (minimum) and $228,000 (maximum). In the United States outside of California, it is between $127,000 (minimum) and $217,000 (maximum). In Canada, the range is between $162,000 CAD (minimum) and $202,000 CAD (maximum). We consider a wide range of factors when determining compensation. This position is eligible for equity and a comprehensive benefits package.
Working at Scribd, Inc.
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 (surrounding metro areas acceptable):
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.
If you require accommodations during the interview process, please email accommodations@scribd.com. Scribd, Inc. is an equal employment opportunity employer. We encourage people of all backgrounds to apply and believe that diversity of perspectives leads to better ideas.
#J-18808-Ljbffr