Quality Assurance Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Arbiter

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1984

📚 Education

⚽ Sports

☁️ SaaS

💰 Debt financing on 2020-03

Education • Sports • SaaS

Arbiter is a connected software platform for K–12 sports and activities that centralizes registration, rostering, event and game scheduling, facilities management, official assignment, eligibility tracking, payments (Arbiter Pay), and communications in one system. The company supports schools, assigners, associations, and governing bodies with tools to reduce manual work, enforce compliance and eligibility rules, process secure online payments and 1099s, run background checks, and provide reporting and visibility across districts and statewide organizations. Arbiter emphasizes time savings for administrators and athletic staff and has served the K–12 and officiating ecosystem for over 40 years.

📋 Description

• Participate in refinement and planning sessions to identify risks, gaps, and edge cases early • Analyze system and data workflows to determine testing priorities and approach • Use AI tools to accelerate testing and analysis • Create, maintain, and execute test plans, strategies, test cases, and automation scripts • Validate functionality across software and hardware solutions • Critically evaluate, validate, and refine AI-generated outputs for accuracy, completeness, and business relevance • Perform functional, integration, regression, exploratory, and data-focused testing across applications and services • Test REST and SOAP APIs and validate JSON and XML responses • Investigate defects through root cause and data analysis • Track defect resolution and communicate quality risks and testing estimates • Collaborate with Product, Engineering, and Support stakeholders • Document test scenarios, results, and findings • Identify opportunities to enhance quality, efficiency, and AI-enabled workflows • Participate in agile ceremonies including standups, retrospectives, planning, and refinement activities

🎯 Requirements

• Strong ability to analyze data, workflows, and system interactions and challenge requirements to clarify business rules and acceptance criteria • Strong test planning, risk analysis, test design, and execution skills • Experience automating tests for web-based and distributed systems using Playwright, Selenium, or similar frameworks • Experience with standard development environments such as VS Code or IntelliJ • Experience testing REST and SOAP APIs using Postman, SOAPUI, or equivalent platforms • Experience using AI-powered tools for testing, automation, debugging, analysis, and documentation • Understanding of AI tool strengths, limitations, and risks • Strong critical thinking and engineering judgment to prompt, validate, and refine AI-generated outputs • Highly organized, self-directed, and able to manage multiple priorities in a fast-paced environment • Excellent written and verbal communication skills • Collaborative, proactive mindset • 3+ years of QA or Quality Engineering experience in an agile development environment • Cellphone or personal device capable of receiving MFA texts or calls • Internet connection with a minimum of 10 Mbps download speed • Prepared to clearly and confidently discuss all experience listed • Successful completion of a pre-employment background check, including employment and education verification • Must not use AI tools during interviews or assessments unless explicitly permitted

🏖️ Benefits

• Fully remote work arrangement • Use of AI-powered tools to improve testing efficiency, automation, and analysis • Opportunity to contribute to quality, efficiency, and AI-enabled workflow improvement initiatives