Quality Engineer AI Cloud- LMTS / PMTS

Global cloud-based software company specializing in CRM and enterprise solutions, pioneering AI integration in business applications.
Machine Learning
Staff Software Engineer
In-Person
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 and transform how Salesforce builds trusted machine learning and AI products. The platform serves billions of predictions daily, training thousands of models, and enabling customers to leverage leading large language models (LLMs).

As a Quality Engineer, you'll lead comprehensive test strategies with automation focus, working on complex backend AI systems. The position involves collaborating with product & engineering teams to ensure feature quality and stability. You'll be part of 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, driving excellence through automation, tools, and streamlined processes. You'll work with latest AI technology, including generative AI, and help build/enhance test frameworks for integration and end-to-end tests. The role involves monitoring platform stability, configuring test environments, and managing quality metrics across different deployment stages.

This is an excellent opportunity for experienced quality engineers who want to work with cutting-edge AI technology while making a significant impact on a platform that serves thousands of customers. The position offers exposure to various LLM technologies, including partnerships with companies like Cohere, Anthropic, and Google, as well as internal model development.

Last updated 11 days ago

Responsibilities For Quality Engineer AI Cloud- LMTS / PMTS

  • Lead design, development and execution of comprehensive test plans/quality strategies with emphasis on automation
  • Collaborate with product & engineering teams for new feature quality
  • Execute regression tests in various environments
  • 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 and platform stability monitoring
  • 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
  • Strong knowledge of Java/Python/Selenium/CD pipeline configurations
  • Experience in E2E and integration testing
  • Strong knowledge of automation tools and continuous automation systems
  • Excellent communication skills
  • Experience working in Global teams
  • Ability to work across timezones

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