Senior Frontend Engineer - Quality Engineering

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 closely with frontend and platform engineers across the organization, and our work spans both 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 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. 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 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 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. 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. 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 Location 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 EEO Statement 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. 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 View email address on click.appcast.io at any point in the interview process. For all positions, the personal information we process is subject to our Employee and Applicant Privacy Policy, which is available here . #J-18808-Ljbffr Scribd