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Tier-1 brand and Bangalore metro increase applicant competition.
Role requires deep QA architecture, enterprise SaaS and AI experience, making cross-industry transfers limited.
Explicit 18+, 5+, 3+ year requirements plus AI, LLM, and architecture mandates imply high filter strictness.
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Architect and evolve scalable, AI-powered test automation frameworks and quality tools for Salesforce Service Cloud enterprise products.
Lead design and integration of LLM-based testing solutions to optimize test generation, defect prediction, and root cause analysis across multiple Service Cloud products.
Collaborate with engineering leaders and cross-functional teams to identify testing gaps, drive framework improvements, and influence quality engineering standards at scale.
Minimum 18 years of software engineering experience with at least 5 years in architecting and designing test automation frameworks and tools.
At least 3 years of hands-on experience with AI-driven approaches, large language model (LLM) integration, and AI-based tooling.
Strong programming skills in languages such as Java, Python, or JavaScript.
Experience reviewing and contributing to architectural design documents (HLDs, LLDs).
Senior technology leader with deep expertise designing scalable test frameworks for complex, multi-tenant enterprise SaaS products, especially in Service Cloud domains (ITSM, contact center, CMDB).
Experienced innovator in AI and LLM integration applied to quality engineering and developer tooling.
Strategic operator capable of influencing technical decisions, driving cross-team collaboration, and establishing quality standards across diverse engineering organizations.