Senior QA Tester - SI

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.

• 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