Google

Google

Google specializes in organizing and providing access to the world's information through its highly regarded search services, catering to both individual users and corporate clients with innovative advertising and revenue-generating solutions.

Internet Software & Services
100K+
Founded 1998

Description

  • Architect and scale full‑stack automation frameworks across CRM, BSS, and OSS stacks to drive end‑to‑end validation for UI, API, and backend layers and integrate with CI/CD pipelines.
  • Design and execute end‑to‑end test strategies across the GFiber software ecosystem, enforcing rigorous quality standards throughout the SDLC.
  • Pioneer AI Quality Engineering practices for Generative AI and LLMs, including prompt‑based validation, evaluation metrics, and mitigation strategies for hallucinations, bias, and toxicity.
  • Orchestrate complex integration and regression testing for critical business systems such as Salesforce CRM, OSS, Billing, and Provisioning to ensure smooth customer lifecycle transitions.
  • Build and maintain robust, full‑stack automation suites (UI, API, backend) to accelerate CI/CD delivery and improve system stability.
  • Act as the primary technical lead for field escalations: perform deep‑dive root‑cause analysis on production issues and translate technical findings into actionable recommendations for stakeholders and executives.
  • Collaborate with cross‑functional teams to translate high‑pressure production problems into long‑term engineering improvements and business solutions.

Requirements

  • 10+ years of experience in Software Quality Engineering, including at least 5 years architecting and developing automated test solutions.
  • Proven experience coding in Java or Kotlin to build scalable automation frameworks.
  • Experience testing CRM, BSS, and OSS systems across functional, integration, regression, and performance/load testing.
  • Experience testing AI models and LLM architectures and developing prompt‑based validation strategies for model outputs.
  • Experience working in Agile/Scrum SDLC environments and familiarity with modern testing methodologies (TDD/BDD).
  • Salesforce certifications (Platform Developer or Administrator) are preferred.
  • Experience coding in Python for AI workflows is preferred.
  • Experience with cloud platforms (AWS, Azure, or GCP) for AI model hosting is preferred.
  • Experience with load/performance testing and security testing principles is preferred.
  • Demonstrated ability to handle high‑pressure field escalation scenarios and conduct thorough root‑cause analysis (preferred).

Benefits

  • US base salary range $136,000–$198,000 for this full‑time position (actual pay varies by location).
  • Bonus and cash award in addition to base salary.
  • Company benefits package (unspecified in posting); recruiter will share location‑specific details during hiring.
  • Inclusive and accessible workplace with candidate accommodations available upon request.

Interested in this position?

Apply directly on the company website

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