Quality Engineer AI Cloud- LMTS / PMTS

Salesforce is a leading enterprise software company specializing in cloud-based CRM and AI solutions.
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Description For Quality Engineer AI Cloud- LMTS / PMTS

Join Salesforce's AI Cloud Quality Engineering team as a key member in India, working with experts worldwide on cutting-edge AI technology. The role focuses on Einstein products & platform, which democratize AI across Salesforce's ecosystem, producing over a billion predictions daily and training thousands of models. You'll be responsible for leading quality initiatives for Salesforce's AI Platform and applications, working with the latest technology in AI space, including generative AI.

As a Quality Engineer, you'll lead comprehensive test strategies with emphasis on automation, collaborating closely with product & engineering teams. The position requires understanding complex backend AI flow systems, identifying risks, and ensuring feature stability and reliability. You'll work in a fast-paced environment with a small, friendly team that values both professional excellence and community involvement through volunteering.

The team serves as the Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes. You'll be involved in building test frameworks, monitoring quality metrics, and managing integration tests across various environments. The role offers exposure to cutting-edge AI technologies, including LLM Model hosting with Sagemaker, LLM Finetuning and Inferencing, and integrations with various AI providers.

This position offers an opportunity to work with Salesforce's industry-leading AI platform while contributing to its massive scale growth. You'll be part of a team that's transforming how Salesforce builds trusted machine learning and AI products, making AI accessible across all clouds through unified, configuration-driven, and fully orchestrated machine learning APIs.

Last updated 13 days ago

Responsibilities For Quality Engineer AI Cloud- LMTS / PMTS

  • Lead design, development and execution of comprehensive test plans/quality strategies
  • Collaborate with product & engineering teams
  • Develop and maintain E2E and integration tests
  • Monitor and report test stability metrics for pre-prod & prod environments
  • Configure tooling/runners for automated tests
  • Define and measure Quality metrics
  • Identify risks with releases and deployments
  • Support TAM expansion to multiple geographies
  • Manage Integration tests pass rates in various environments

Requirements For Quality Engineer AI Cloud- LMTS / PMTS

Java
Python
  • 8+ years of QE experience
  • 2+ years of experience leading projects and partnering/leading junior members
  • Strong knowledge of Java/Python/Selenium/CD pipeline configurations
  • Experience in API, databases and web UI testing
  • Excellent communication skills
  • Experience working with global teams across time zones
  • Strategic and tactical leadership in test coverage analysis
  • Strong knowledge of automation tools and continuous automation systems

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