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 Job • 6-8 years of experience in QA, software testing, or qualityengineering • Experience defining teststrategy, test plans,test scope, and release-readiness criteria • 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 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 PreferredSkills Job • 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 Personal • Demonstrate proactive thinking • Strong interpersonal relations and stakeholder coordination skills • Ability to workunder stringent deadlines and demanding clientconditions 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