Software Quality Engineering Lead for AI Platform
6 days ago
About the Role
We are seeking an experienced Software Quality Engineering Lead to join our AI Platform team at Salesforce, Inc. This is a unique opportunity to lead the design, development, and execution of comprehensive test plans and quality strategies with a focus on automation.
Key Responsibilities
- Lead the designing, development, and execution of comprehensive test plans/quality strategies with emphasis on automation.
- Collaborate closely with engineering and product teams to contribute to the quality of new features and ensure successful execution of regression tests in various environments.
- Develop and maintain technical expertise in identifying, developing, and maintaining tests involving API, databases, and web UI tests.
- Partner with stakeholders from multiple organizations to leverage our central platform for custom applications.
- Maintain strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations.
- Excellent communication skills required for generating reports, presenting, and holding the quality bar for new features & release.
Requirements
- A related 4-year technical degree required.
- Strategic and Tactical leadership: Experience leading analysis of coverage gaps and writing E2E and integration tests.
- Technical Expertise: Technical excellence and leadership required in identifying, developing, and maintaining tests involving API, databases, and web UI tests.
- 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 Skills
- 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.
Estimated Salary Range:$140,000 - $180,000 per year, based on industry standards and location.
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