Note: The job is a remote job and is open to candidates in USA. Arbiter is seeking a curious, analytical Quality Assurance Engineer to support quality throughout the software development lifecycle. The role focuses on AI-assisted testing, test automation, API and data-driven validation, defect investigation, and collaboration with Product, Engineering, and Support teams in an agile environment.
Responsibilities
- Participate in refinement and planning sessions to identify risks, gaps, and edge cases early, and analyze system and data workflows to determine testing priorities and approach
- Using AI tools to accelerate testing and analysis; create, maintain, and execute test plans, strategies, cases, and automation scripts; validate functionality across software and hardware solutions
- Critically evaluate, validate, and refine AI-generated outputs to ensure accuracy, completeness, and business relevance
- Perform functional, integration, regression, exploratory, and data-focused testing across applications and services
- Test REST and SOAP APIs, validating JSON and XML responses
- Investigate defects through root cause and data analysis, track resolution, and communicate quality risks and testing estimates, in collaboration with Product, Engineering, and Support stakeholders
- Document test scenarios, results, and findings clearly and concisely
- Contribute to improvement initiatives by identifying opportunities to enhance quality, efficiency, and AI-enabled workflows
- Participate in agile ceremonies including standups, retrospectives, planning, and refinement activities
Skills
- Strong ability to analyze data, workflows, and system interactions, and to 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, within standard development environments (e.g., VS Code, IntelliJ)
- Experience testing REST and SOAP APIs using tools such as Postman, SOAPUI, or equivalent platforms
- Experience using AI-powered tools – understanding their strengths, limitations, and risks – to support testing, automation, debugging, analysis, and documentation, and to identify opportunities that improve efficiency and quality
- 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
- A collaborative, proactive mindset
- 3+ years of QA or Quality Engineering experience in an agile development environment
- Cellphone or personal device to receive MFA (multi-factor authentication) texts or calls
- Have an internet connection that's adequate for their job, a minimum of 10Mbps down
Company Overview