QA Engineer

Job not on LinkedIn

🔥 15 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

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Trellis

WebsiteLinkedInAll Job Openings

51 - 200 employees

🛍️ eCommerce

🤝 B2B

☁️ SaaS

eCommerce • B2B • SaaS

Trellis is a full service eCommerce agency that specializes in strategy, creative, technology, and performance marketing to enhance digital commerce. They partner with various industries such as manufacturing, distribution, fashion, health, and technology to create brands that connect and convert through platforms like Shopify, BigCommerce, and Magento. Trellis focuses on improving the entire customer journey, using data-driven insights to boost sales and offers services in marketing, creative design, development, and integrations. Their expertise in eCommerce platforms enables them to build scalable digital experiences and provide world-class eCommerce solutions.

📋 Description

• Design and build automated systems that identify data quality issues, product bugs, and regressions across our web application and data pipelines — reducing reliance on manual discovery. • Write scripts and tooling to detect anomalies, inconsistencies, or failures in large datasets (e.g. malformed records, missing relationships, unexpected distributions). • Work with product to prioritize identified issues based on business impact, and write or contribute code fixes directly — not just file tickets. • Develop and maintain automated test coverage (unit, integration, end-to-end) with a focus on high-risk areas and data-heavy workflows. • Collaborate with engineering to review data models, API contracts, and backend logic for correctness and edge cases. • Instrument quality metrics and build internal tooling or dashboards to track data health and product reliability over time. • Contribute to release readiness by running automated checks and surfacing risk areas with supporting data.

🎯 Requirements

• 3+ years of engineering experience with a focus on quality, data integrity, or test automation. • Strong Python skills — comfortable writing production-quality scripts, automation, and data analysis code. • Experience working with large datasets: querying, profiling, validating, and debugging data in SQL and NoSQL databases (Postgres/Elasticsearch preferred). • Proven track record building automated systems that discover bugs or data issues, not just validate known behavior. • Ability to read, understand, and contribute fixes to a production codebase — this role writes code, not just tests. • Comfortable working independently and prioritizing a backlog of quality issues by impact.

🏖️ Benefits

• Meaningful equity • Full Medical, dental, and vision coverage (for you and your family). ALL premiums covered! • 401k w/ full match up to state limit • Work from anywhere • Flexible vacation policy. You manage your own time