QA Test​/Automation Engineer

1230 Ave of the Americas, New York, NY 10036, USA

Simon & Schuster was named to Forbes magazine list of America's Best Mid-Size Employers 2022. Simon & Schuster is a global leader in general interest publishing, dedicated to providing the best in fiction and nonfiction for readers of all ages, and in all printed, digital and audio formats. Its distinguished roster of authors includes many of the world's most popular and widely recognized writers, and winners of the most prestigious literary honors and awards.

It is home to numerous well-known imprints and divisions such as Simon & Schuster, Scribner, Atria Books, Gallery Books, Pocket Books, Adams Media, Simon & Schuster Children's Publishing and Simon & Schuster Audio and international companies in Australia, Canada, India and the United Kingdom, and proudly brings the works of its authors to readers in more than 200 countries and territories.

For more information visit our website at

Simon & Schuster, one of the world's leading publishers, is investing in a multi-year modernization of the core systems that power order management, fulfillment, partner integration, and financial transactions. We are replacing long-established technology with modern .NET and SQL solutions using an AI-assisted approach.

The QA / Test Automation Engineer is the evidence engine of the program. Nothing replaces a production process here until it has been proven equivalent: every replacement runs in parallel with the existing system, writing to isolated validation tables, and its output is reconciled against the existing output row by row. This role owns that proof, building the automated regression and data-reconciliation checks, running the first-pass comparison on every parallel run, chasing every discrepancy to a root cause, and assembling the evidence package that gates each production cutover.

This is not a test-script-execution role. It is a data-heavy engineering role: most validation happens in SQL against large production datasets, wrapped in repeatable, automated harnesses, with AI tooling used to accelerate test generation and analysis.

• Own first-pass reconciliation — Run and maintain the data-comparison process for every parallel ("shadow") run: legacy output vs. replacement output, row counts to column-level differences. Classify every discrepancy( defect, timing artifact, or explained difference) before it reaches business review.
• Build automated regression and parity tests — Create repeatable, automated test suites that verify converted functionality preserves required business behavior across releases, including edge cases identified during discovery.
• Test integrations and performance — Validate interfaces to warehouse, EDI, and financial systems; verify replacements meet or beat legacy runtimes and batch windows under production-scale volume.
• Gate production cutovers with evidence — Define and enforce the "green-run" standard (consecutive clean parallel runs); assemble the cutover evidence package reviewed by the business and the Modernization Lead.
• Coordinate business user testing — Organize UAT with business stakeholders alongside the Systems Analyst, translating validation results into terms business owners can sign off on.
• Harden the validation framework — Improve shared reconciliation procedures, test data management, and run-telemetry checks so each successive replacement is cheaper and safer to validate.
• Use AI tooling critically — Apply AI-assisted test generation, data analysis, and documentation, with the judgment to validate generated output before relying on it.

• 5+ years of QA experience with a strong test-automation focus , including ownership of test strategy for production systems (not solely manual test execution).
• Strong SQL skills — able to write substantial queries against large datasets for data validation and reconciliation: joins, aggregation, and set comparison across systems. This is the core daily skill of the role.
• Automated testing experience — building and maintaining automated test suites (e.g., NUnit/xUnit, pytest, or equivalent) and integrating them…