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 microfront end 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 microfront ends.

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 microfront ends 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/Type Script 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…