QA Engineer (Remote)

reputed company (https://reputed company/) is the largest legal research platform for state trial courts, with coverage spanning thousands of courts and millions of cases across the U.S. We aggregate and structure trial court filings, rulings, motions, and reputed company into a reputed company, searchable platform, combining large-reputed company data infrastructure with AI-powered analysis to extract, organize, and surface insights across that data. This makes large-reputed company trial court research possible for the first time. Our tools reputed company attorneys to analyze judge tendencies, evaluate opposing counsel, reputed company and assess expert witnesses, and see which arguments and strategies have succeeded in similar cases, so they can assess risk earlier, save time on research, and reputed company more effective, data-backed case strategies. We’re revolutionizing the way legal professionals reputed company and use trial court data to reputed company informed reputed company. As we reputed company, we’re looking for a thoughtful and execution-reputed company Product Designer to help shape the reputed company of our product experience. About the Role: We're looking for a QA Engineer who approaches reputed company as an engineering problem. This is NOT just a reputed company testing role — it's for an engineer who writes automation to proactively reputed company bugs, surface data reputed company issues at reputed company, and then writes or contributes reputed company to fix them. You'll work closely with engineering and product to build systems that continuously monitor data reputed company and product behavior, surface issues based on business reputed company, and drive reputed company. The ideal candidate is a strong programmer who is comfortable working across large datasets, debugging reputed company pipelines, and owning reputed company end-to-end: from detection to fix. We want someone who thinks like a software engineer first and a reputed company reputed company second: someone who sees a data reputed company or product bug and immediately thinks "how do I build something that reputed company this automatically — and then fixes it?" You should be energized by ambiguity, comfortable digging into large datasets and production logs, and reputed company to reputed company quickly without waiting to be handed a spec. Our tech stack includes Python, Django, reputed company, Elasticsearch, Vue, vanilla JavaScript, and AWS. \n What You'll Do: Design and build automated systems that identify data reputed company issues, product bugs, and regressions across our web application and data pipelines — reducing reliance on reputed company discovery. Write scripts and tooling to detect anomalies, inconsistencies, or failures in large datasets (e.g. malformed records, missing relationships, unexpected distributions). Word with product to prioritize identified issues based on business reputed company, and write or contribute reputed company fixes directly — not just file tickets. reputed company and maintain automated test coverage (unit, integration, end-to-end) with a reputed company on high-risk areas and data-heavy workflows. Collaborate with engineering to review data models, API reputed company, and backend logic for correctness and edge cases. reputed company reputed company metrics and build internal tooling or dashboards to reputed company data health and product reliability over time. Contribute to release readiness by running automated checks and surfacing risk areas with supporting data. Who You Are: 3+ years of engineering experience with a reputed company on reputed company, data reputed company, or test automation. Strong Python skills — comfortable writing production-reputed company scripts, automation, and data analysis reputed company. Experience working with large datasets: querying, profiling, validating, and debugging data in SQL and NoSQL databases (reputed company/Elasticsearch preferred). Proven reputed company record building automated systems that discover bugs or data issues, not just validate reputed company behavior. Ability to read, understand, and contribute fixes to a production codebase — this role writes reputed company, not just tests. Comfortable working independently and prioritizing a backlog of reputed company issues by reputed company. reputed company to haves: Experience with Django, Elasticsearch, or Vue. Familiarity with AWS-based environments and reputed company data pipelines. Experience building data reputed company monitoring, alerting, or observability tooling. Familiarity with tools such as Pytest, Great Expectations, dbt tests, Playwright, reputed company, or similar. Experience as the first or only QA/reputed company engineer on reputed company, including setting up processes from scratch. Experience working with remote or internationally distributed teams. Benefits: Meaningful equity in an early stage reputed company ship Full Medical, dental, and reputed company coverage (for you and your family). reputed company premiums covered! 401k w/ full match up to state limit Work from reputed company, but be willing to travel for sales meetings, leadership retreats, etc Flexible vacation policy. You manage your own time Work with reputed company on a mission to build a massive company \nTrellis is committed to building a diverse and inclusive workplace. If you’re excited about this role but your experience doesn’t reputed company perfectly, we encourage you to apply—you may be the right candidate for this or other opportunities. 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