Senior/Lead Quality Engineer (AI Platform)

Requirements• A related 4-year technical degree required,• Strategic and Tactical leadership: Experience leading analysis of coverage gaps and writing E2E and integration tests, partnering with teams to drive service level test coverage,• Technical Expertise: Technical excellence and leadership required in identifying, developing and maintaining tests involving API, databases and web UI tests. Strong knowledge of automation tools and continuous automation systems,• Cross Team Collaboration: Ability to work with stakeholders (internal customers) from multiple organizations that leverage our central platform for custom applications. Collaborate with them to determine key shared usage patterns to prioritize test coverage of, as well as provide guidance to these customers on how to proactively test their application’s integration with the platform,• Strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations,• Excellent communication skills: Experience generating reports, presenting and holding the quality bar for new features & release,• Experience working in Global teams: Ability to work and partner with peers and other partner teams across timezones,• 6+ years of QE experience and 2+ years of experience leading projects and partnering/leading junior members of the team,• (Desirable) Understanding of LLM Model hosting with Sagemaker,• (Desirable) Understanding LLM Finetuning and Inferencing,• (Desirable) Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models,• (Desirable) Sagemaker GroundTruth integration for data labeling, Bedrock for model serving,• (Desirable) Experience with Azure Open AIWhat the job involves• Join the AI Platform Quality Engineering team, and become a specialist on Salesforce's AI Platform!,• You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned for this year,• As a Quality Engineer for the Salesforce AI platform, you will be responsible for leading the designing, development and execution of comprehensive test plans/quality strategies with emphasis on automation,• You will collaborate closely with engineering and product teams actively contributing to the quality of new features while ensuring successful execution of regression tests in various environments,• You will be working in a fast phased environment and will be expected to understand complex backend AI flow systems/dependencies, identifying potential risks, and strategically plan and execute comprehensive testing efforts to ensure the stability, reliability and quality of the feature and release