QA Engineer (Python / SDET) en Tritone Analytics, Inc

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.

Aplica directamente en el sitio original en Get on Board.

Must-Have:

• 1–2 years of experience with Python (pytest)
• Comfortable writing SQL queries to validate data
• Strong attention to detail—especially with structured data
• Ability to work independently in a small team

Strongly Preferred:

• Experience with Playwright or browser automation (Selenium is fine)
• Exposure to CI/CD tools (GitHub Actions, Jenkins, etc.)
• Interest in data pipelines, ETL, or backend systems

Tech Stack:

• Python 3.12+, pytest
• DuckDB (data processing)
• Gradio (UI)
• GitHub Actions (CI/CD)
• 3,000+ existing tests across 100+ files