Responsibilities
Apply AIassisted test generation, test maintenance, and regression optimization using Codex or similar AI coding tools
Maintain test evidence, traceability, and release signoff practices; support release checkpoints and quality metrics
Cross-train and provide QA coverage as needed.
Essential Skills |
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6-8 years of experience in QA, software testing, or qualityengineering Experience defining teststrategy, test plans,test scope, and release-readiness criteria
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Experience creating and managing feature, regression, smoke, andend-to-end test plansin VersionOne or similar Agile ticketing systems Experience executing featurevalidation, regression testing, exploratory testing, and UAT support Experience with risk-based testing, defect triage, and coverage tracking Experience validating acceptance criteria, documenting defects, and driving retest/closure workflows Understanding of testevidence, traceability, and release signoffpractices Working knowledge of SQL fortest data validation, troubleshooting, and basicdatabase queries Familiarity with job monitoring, pipeline status checks, logs,and environment-level troubleshooting Ability to validate API responses, payloads, and system workflows at a functional level Experience operating in Agile delivery models such as Scrum and Kanban Experience with VersionOne, Jira, or equivalent ticketing systems for defect tracking and sprint support Understanding of Test Ops concepts, including test execution visibility, release checkpoints, and quality metrics
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Personal |
Excellent communication and interpersonal skills,with the abilityto coordinate with product, development, and business stakeholders Strong attention to detail withdisciplined test evidence and traceability practices A proactive approach to problem solving and release-readiness ownership Willingness to adoptnew AI-assisted toolsand continuously improveQA practices
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PreferredSkills |
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Exposure to usingCodex or similarAI coding toolsto accelerate automated test creation Familiarity with AI-assisted test generation, testmaintenance, and regression optimization Understanding of future-state QA automation approaches such as AI-generated test cases, self-healing automation, and intelligent test selection Familiarity with Dagsterrun monitoring and data pipeline validation Experience supporting releasecycles for data-driven or SaaS applications
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Personal |
Demonstrate proactive thinking Strong interpersonal relations and stakeholder coordination skills Ability to workunder stringent deadlines and demanding clientconditions
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Other Relevant Information |
Bachelor's degree in Computer Science, Information Technology, or a relatedfield 6-8 years of experience in QA or quality engineering, preferably for data-driven or SaaS applications Willingness to cross-train and provide QA coverage acrossmultiple applications
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