Architect and scale full-stack automation frameworks (Java/Kotlin) across CRM, BSS, and OSS stacks.
Drive E2E validation for UI, API, and backend layers to ensure seamless CI/CD integration and zero-defect delivery.
Pioneer testing strategies for Generative AI and LLMs.
Develop rigorous frameworks to mitigate hallucinations, bias, and toxicity, using advanced prompt engineering to align model outputs with business safety standards.
Act as the primary technical authority for field escalations.
Conduct deep-dive root-cause analysis on production issues and distill complex technical findings into actionable insights for executive stakeholders.
Architect and execute end-to-end test strategies across the GFiber software ecosystem, ensuring rigorous quality standards throughout the entire SDLC.
Orchestrate complex integration testing for critical business systems, including CRMs (Salesforce), OSS, Billing, and Provisioning, to ensure zero-defect transitions across the customer lifecycle.
Design specialized QA frameworks for Generative AI and LLMs, utilizing advanced prompt engineering and evaluation metrics to mitigate hallucinations, bias, and toxicity while ensuring alignment with core business logic.
Requirements
10+ years of experience in Software Quality Engineering, including at least 5 years dedicated to architecting and developing automated test solutions.
Experience coding in Java or Kotlin for building scalable automation frameworks.
Experience in CRM, BSS, and OSS testing, encompassing functional, integration, regression, and performance/load testing.
Experience testing AI models and LLM architectures, including the development of prompt-based validation strategies.
Experience with SDLC within Agile/Scrum environments, with a focus on modern testing methodologies (TDD/BDD)