Senior Consultant QA Testing - 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.

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

• 6-8 years of experience in QA, software testing, or quality engineering
• Experience defining test strategy, test plans, test scope, and release-readiness criteria
• Experience creating and managing feature, regression, smoke, and end-to-end test plans in VersionOne or similar Agile ticketing systems
• Experience executing feature validation, 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 test evidence, traceability, and release signoff practices
• Working knowledge of SQL for test data validation, troubleshooting, and basic database 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 ability to coordinate with product, development, and business stakeholders
• Strong attention to detail with disciplined test evidence and traceability practices
• A proactive approach to problem solving and release-readiness ownership
• Willingness to adopt new AI-assisted tools and continuously improve QA practices
• Bachelor's degree in Computer Science, Information Technology, or a related field
• Willingness to cross-train and provide QA coverage across multiple applications
• Exposure to using Codex or similar AI coding tools to accelerate automated test creation
• Familiarity with AI-assisted test generation, test maintenance, 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 Dagster run monitoring and data pipeline validation
• Experience supporting release cycles for data-driven or SaaS applications
• Demonstrate proactive thinking
• Strong interpersonal relations and stakeholder coordination skills
• Ability to work under stringent deadlines and demanding client conditions