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 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
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 client conditions
Other Relevant Information
-
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