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Tier-1 brand, metro location, and broad automation skillset moderately increase competition.
QA automation skills are transferable, but preferred IIoT/industrial domain experience increases fit sensitivity to medium.
Explicit 8–12 years, mandatory QE expertise and specific automation/tool expectations cause high shortlisting strictness.
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Define and lead test strategy and validation scope including risk-based approaches for new features and releases.
Drive end-to-end quality validation across UI, APIs, services, data pipelines, and configurations ensuring release readiness.
Own automation coverage, defect triage, validation tracking, and mentor junior quality engineers while supporting CI/CD validation processes.
8-12 years of experience in software quality engineering focused on functional, integration, system, and regression testing for enterprise products.
Hands-on expertise in UI, API, and service-level test automation with familiarity in automation frameworks and modern QE practices.
Degree in BE/BTech/ME/MTech in relevant fields; domain exposure to industrial platforms, IIoT, data/analytics, manufacturing, or energy preferred.
Work Model: Hybrid work setup.
Experienced in leading quality engineering discussions and collaboration with cross-functional teams including developers, architects, and product managers.
Strong background in test strategy, release validation, defect management, and risk-based testing within enterprise-grade solutions.
Comfortable working in environments involving complex architecture workflows across applications, services, APIs, and databases.