Aspire Software is looking for a SeniorQUALITY ASSURANCE ANALYST to join our team in Lebanon.
Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.
About the Role : We’re looking for a high-impact QA professional who can quickly learn the direct selling / MLM domain—including commissions/incentives, reporting, eCommerce, and party planning workflows—and help raise quality across a modern web + microservices platform. This role is hands-on with manual testing and test design, and will also help architect an automation approach (services and UI) as we mature our testing capabilities. We need someone who can challenge solutions early, find non-obvious risk, and partner closely with Product, Engineering, and DevOps.
Responsibilities
Quality Ownership & Domain Testing
Learn our product quickly and become fluent in our business workflows:
direct selling/MLM (commissions, incentives, ranks/qualifications, genealogy, adjustments, payouts, auditability)
message-driven behavior via MassTransit (event publication/consumption, saga/workflow orchestration where applicable, eventual consistency)
data correctness across MongoDB and SQL Server
Validate integration workflows that cross domains (e.g., eCommerce order events feeding commission qualification; party orders rolling up to host rewards; reporting correctness across adjustments).
Automation Strategy (Nice to Have / Growth Area)
Design an automation approach (framework choice, test pyramid strategy, CI/CD integration) for:
front-end tests (Vue UI regression and critical user journeys)
Identify what should be automated first (high-value regressions, high-risk workflows, critical cross-service journeys).
Collaborate with engineering/DevOps to integrate automation into pipelines and define stable test environments and test data strategies.
AI-Assisted Testing (Pragmatic Use)
Use AI tools to accelerate test design: generate test ideas, edge cases, and negative scenarios from requirements and API contracts (with human review).
Use AI to speed up investigation: summarize logs/message traces, highlight suspicious patterns, and propose focused repro steps.
Use AI to assist with maintenance tasks: draft/normalize test cases, improve bug report clarity, and help create lightweight synthetic test data—while validating outputs and protecting sensitive information.
Documentation & Process
Create and maintain clear documentation for:
test cases, suites, and traceability to requirements
test execution procedures and release sign-off checklists
Experience with Kubernetes/Docker-based environments and troubleshooting deployments.
Experience testing message-based systems (MassTransit, NServiceBus, Kafka, RabbitMQ, etc.), including sagas/workflows and eventual consistency patterns.
Background in domains such as direct selling/MLM, eCommerce, party/event selling, reporting/analytics, financial/audit-style statements.
Comfort with AI-assisted QA workflows (e.g., using LLMs to brainstorm tests and summarize findings), and the judgment to verify results.
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