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Senior Software Engineer - Quality Platform

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Scribd, Inc.
Full Time position
Listed on 2026-05-06
Job specializations:
  • Software Development
    Software Engineer, DevOps, Cloud Engineer - Software, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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 microfront end 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 microfront ends.

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…
Position Requirements
10+ Years work experience
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