Senior Frontend Engineer - Quality Engineering

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.

Culture at Scribd, Inc. 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.

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 -…