Senior QA Tester - SI

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.

6-8 years of experience in QA, software testing, or quality engineering

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 signoff practices

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

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

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

Demonstrate proactive thinking

Strong interpersonal relations and stakeholder coordination skills

Ability to workunder stringent deadlines and demanding client conditions

Bachelor's degree in Computer Science, Information Technology, or a related field

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