Senior/Lead Quality Engineer

2 weeks ago

San Francisco, United States Salesforce, Inc. Full time
Senior/Lead Quality Engineer - AI Platform

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category: Software Engineering

About Salesforce:

We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.

About the organization:

Einstein products & platform democratize AI and transform the way our Salesforce Ohana builds trusted machine learning and AI products - in days instead of months.

About the team:

Join the AI Platform Quality Engineering team, and become a specialist on Salesforce's AI Platform You'll get to work with the latest technology in the AI space (including generative AI).

Job description summary:

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.

Skills needed for role:

  • 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.
  • 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.

Nice to have skillsets:

  • Understanding of LLM Model hosting with Sagemaker
  • Understanding LLM Finetuning and Inferencing
  • Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models
  • Sagemaker GroundTruth integration for data labeling, Bedrock for model serving
  • Experience with Azure Open AI

What the team does:

  • Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes.
  • Building/enhancing test frameworks/tooling for the easy creation and maintenance of integration and end-to-end tests.
  • Proactively drive quality by monitoring and reporting of test stability metrics for pre-prod & Prod environments through dashboards.
  • CUJs (Critical User Journey test) for cross-cloud integration and apps
  • Configure tooling/runners for automated tests, used by scrum teams
  • Define and measure Quality metrics (code coverage, endpoint coverage, service coverage, etc.) goals are met for the ML foundations

#LI-Y

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At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

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