QA Engineer
Expedock
QA Engineer
Expedock
Automates invoice reconciliation & shipment visibility
Schedule: Mid-shift
Employment Type:Full-time
Location: Remote, Philippines
About Expedock
We are a tech-enabled workforce augmentation platform leveraging top 1% offshore talent & cutting edge technology to enable businesses to unlock their full potential
Who We Need
We are seeking a detail-oriented, technical QA / Data Collection Engineer to assist with test execution, issue reporting, and hardware-level troubleshooting. In this role, you will run proprietary collection software, execute structured test plans, and perform exploratory testing to ensure seamless performance across target environments.
The ideal candidate possesses a strong technical foundation in PC hardware and basic networking, excellent troubleshooting skills, and the ability to communicate clear, actionable bug reports in written English.
Responsibilities
Requirements
Nice to Have
Candidate Data & Privacy Notice
By submitting your application to Expedock, you acknowledge and consent to the collection, use, and processing of your personal information for recruitment and hiring purposes. Your information will be used to:
We handle candidate data with care and in accordance with applicable data protection and privacy regulations. Your information will only be accessed by authorized team members and will not be shared with third parties without your consent, unless required by law.
Expedock uses AI to automate back-office tasks in the global supply chain. Its SaaS tools help freight forwarders, shippers, and logistics providers automate invoice reconciliation, process lengthy statements, and gain end-to-end shipment visibility. The platform extracts and reconciles data from invoices and documents, then presents actionable insights and exceptions through a data infrastructure accessed on a subscription basis. Its aim is to help customers scale operations, cut manual work, and improve service quality without adding headcount by focusing on AI-driven automation and data infrastructure for logistics providers.
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