Senior QA Tester - SI
The Hackett Group • Hyderabad, Telangana, India
Role & seniority
QA/Quality Engineering role (mid–senior): 6–8 years experience
Stack/tools
AI-assisted testing: Codex or similar AI coding tools (test generation/maintenance/regression optimization)
Test management/Agile: VersionOne, Jira (ticketing, defect tracking, sprint support)
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SQL (test data validation; basic queries; troubleshooting)
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API testing (functional validation of responses/payloads/workflows)
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Pipelines/ops basics: job monitoring, pipeline status checks, logs, environment-level troubleshooting
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Test Ops concepts: execution visibility, release checkpoints, quality metrics
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Preferred: Dagster (run monitoring/data pipeline validation)
Top 3 responsibilities
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Build and optimize tests using AI-assisted test generation; maintain regression suites
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Maintain test evidence, traceability, and release signoff; support release checkpoints/quality metrics
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Execute and support feature validation/regression/smoke/end-to-end testing, including exploratory testing and UAT support; drive defect retest/closure
Must-have skills
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Define test strategy/plans/scope and release-readiness criteria
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Plan/manage feature, regression, smoke, and end-to-end testing in Agile tools
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Risk-based testing, defect triage, coverage tracking
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Validate acceptance criteria, document defects, manage retest/closure
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Strong test evidence + traceability discipline
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SQL for data validation and t
Full Description
Responsibilities
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Apply AIassisted test generation, test maintenance, and regression optimization using Codex or similar AI coding tools
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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
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6-8 years of experience in QA, software testing, or qualityengineering
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Experience defining teststrategy, test plans,test scope, and release-readiness criteria
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Experience creating and managing feature, regression, smoke, andend-to-end test plansin VersionOne or similar Agile ticketing systems
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Experience executing featurevalidation, regression testing, exploratory testing, and UAT support
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Experience with risk-based testing, defect triage, and coverage tracking
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Experience validating acceptance criteria, documenting defects, and driving retest/closure workflows
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Understanding of testevidence, traceability, and release signoffpractices
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Working knowledge of SQL fortest data validation, troubleshooting, and basicdatabase queries
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Familiarity with job monitoring, pipeline status checks, logs,and environment-level troubleshooting
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Ability to validate API responses, payloads, and system workflows at a functional level
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Experience operating in Agile delivery models such as Scrum and Kanban
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Experience with VersionOne, Jira, or equivalent ticketing systems for defect tracking and sprint support
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Understanding of Test Ops concepts, including test execution visibility, release checkpoints, and quality metrics
Personal
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Excellent communication and interpersonal skills,with the abilityto coordinate with product, development, and business stakeholders
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Strong attention to detail withdisciplined test evidence and traceability practices
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A proactive approach to problem solving and release-readiness ownership
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Willingness to adoptnew AI-assisted toolsand continuously improveQA practices
PreferredSkills
Job
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Exposure to usingCodex or similarAI coding toolsto accelerate automated test creation
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Familiarity with AI-assisted test generation, testmaintenance, and regression optimization
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Understanding of future-state QA automation approaches such as AI-generated test cases, self-healing automation, and intelligent test selection
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Familiarity with Dagsterrun monitoring and data pipeline validation
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Experience supporting releasecycles for data-driven or SaaS applications
Personal
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Demonstrate proactive thinking
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Strong interpersonal relations and stakeholder coordination skills
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Ability to workunder stringent deadlines and demanding clientconditions
Other Relevant Information
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Bachelor's degree in Computer Science, Information Technology, or a relatedfield
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6-8 years of experience in QA or quality engineering, preferably for data-driven or SaaS applications
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Willingness to cross-train and provide QA coverage acrossmultiple applications