QA Test Automation Engineer
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Aspire Systems provides comprehensive IT services, IT consulting expertise, and technology solutions to help businesses achieve their digital transformation goals.
Requirements:
- Strong proficiency in test automation frameworks and programming languages (Python, JavaScript/TypeScript).
- Experience testing RESTful APIs, webhooks, and integration layers across enterprise systems.
- Experience with Agentic AI platforms and conversational AI testing methodologies.
- Understanding of MCP server validation, A2A orchestration testing, and AI agent behavior verification.
- Knowledge of NLU/intent testing: precision, recall, F1 scoring, utterance coverage, and entity extraction validation.
- Experience with CI/CD integrated test pipelines (GitHub Actions, Azure DevOps Pipelines, Jenkins).
- Proficiency with defect tracking and test management tools (Jira, Azure DevOps, TestRail, or similar).
- Understanding of performance/load testing tools (JMeter, k6 Locust) for AI platform scalability validation.
- Familiarity with ServiceNow, Workday, and identity management system testing.
- Understanding of data privacy, security testing, and compliance validation in AI-driven workflows.
- Strong analytical, documentation, and crossfunctional communication skills.
- Experience in QA engineering, test automation, or software quality assurance.
- Experience testing conversational AI / chatbot / virtual assistant platforms (Leena AI, Moveworks, or similar) preferred.
- Hands-on experience with API testing tools (Postman, Newman, and REST Assured) and test automation frameworks (Selenium, pytest, Cypress, or similar).
- Familiarity with Agentic AI concepts, LLM output validation, and nondeterministic testing strategies is a plus.
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