Software Engineer

Key Responsibilities:

• Elevate quality engineering strategy leadership by defining, developing, and executing a comprehensive plan for Salesforce Agentforce, Data Cloud, and other relevant capabilities.
• Deliver test automation expertise through designing, developing, and maintaining robust automated test scripts for Agent UI, Experience Site UI, and APIs using industry-standard tools and frameworks like Selenium, WebDriver, JavaScript frameworks, and API testing tools.
• Craft specialized testing strategies and test cases for AI-powered features, including Retrieval-Augmented Generation (RAG), Agentic workflows, single turn/multi Turn conversation, Natural Language Processing (NLP), and Large Language Models (LLMs). Utilize AI and RAG testing metrics to define and measure testing outcomes.
• Build and maintain datasets for training, fine-tuning, and evaluating the performance and accuracy of LLMs and other AI models. Implement data-driven approaches to measure and improve the quality of AI features.
• Create functional test plans and test cases tailored to Salesforce applications, including customizations using Flows, Triggers, Apex Jobs, and more. Possess a deep understanding of Salesforce best practices and governor limits.
• Develop automated quality control pipelines using Jenkins or other CI/CD tools to ensure seamless integration and deployment of high-quality software.
• Effectively identify, document, track, and manage defects to ensure timely resolution and contribute to root cause analysis.
• Partner with Product Managers, Developers, UX Designers, and other stakeholders to understand requirements, provide timely feedback, communicate testing progress, and collaborate on solutions.
• Establish and champion quality standards, methodologies, and best practices within the team and across the organization.

Requirements:

• At least 7 years of experience in Software Quality Engineering.
• 2+ years of hands-on experience with the Salesforce platform, including configuration and development across various Salesforce Customer 360 products.
• 3+ years of proven experience in testing Machine Learning (ML), Artificial Intelligence (AI) systems, and/or services.
• Strong proficiency in at least one programming language such as Python or Java, particularly relevant for test automation and AI/ML testing.
• Experience with Large Language Models (LLMs) and prompt engineering testing frameworks.
• Solid understanding of Retrieval-Augmented Generation (RAG) and Agentic technologies.
• Demonstrated experience in building and maintaining robust automated testing frameworks for UI and APIs.
• Proficiency in JavaScript and modern UI frameworks like React, Angular for UI test automation.
• Experience with WebDriver and Selenium for browser automation.
• Strong analytical mindset with experience in using a data-driven approach to measure and improve the quality of complex ML/AI products.
• Proven experience with Salesforce DevOps, CI/CD processes, and automation tools.
• Deep understanding of Salesforce architecture, functionalities, and various clouds.
• Strong understanding of AI, machine learning, and natural language processing principles.
• Experience with data management principles and Customer Data Platforms (CDPs) or Data Lakes.
• Familiarity with development tools like SLDS, XML, HTML, SQL, JavaScript, JSON, and CSS.
• Proven ability to work effectively within cross-functional teams to achieve common goals and business objectives.
• Experience with Agile development or Scrum project management methodologies and tools.
• Solid understanding of software engineering principles, key design patterns, and best practices.
• Strategic thinker with the ability to see the big picture, innovate, and adapt to constant change.
• Ability to work under pressure, highly adaptable, and well-organized.
• Highly effective written and verbal communication skills with audiences across all levels of the organization.
• Strong organizational skills with the ability to establish and manage priorities in a complex and fast-paced environment.
• Strong knowledge of data management concepts and architectures.

We Are Looking For A Skilled Professional With:

• A Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent experience.