Tritone Analytics is building a forensic royalty auditing platform for the music industry. We ingest messy, real-world financial data from labels, distributors, and publishers—and turn it into clean, structured systems that power analysis and AI workflows.

We’re looking for a junior-to-mid level QA Engineer to own testing across our core data systems.

This is not a traditional QA role. You’ll be working with data pipelines, not just UI flows.

What You’ll Do Own quality across a Python-based royalty data pipeline (CSV/XLSX → normalized data) Write and maintain tests across: unit, integration, and E2 E (Playwright) Data validation (row counts, column mappings, financial logic) Expand E2 E coverage for our Gradio dashboard (upload → process → export) Validate transformations using SQL (Duck DB) Improve and maintain CI/CD pipelines (Git Hub Actions) Identify gaps in test coverage and proactively build solutions Example Work Validate that 100 K+ rows from a label ...