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Software Engineering SMTS (Salesforce AI Quality Engineer)

Software Engineering SMTS (Salesforce AI Quality Engineer)

ConfidentialHyderabad / Secunderabad, Telangana
20 days ago
Job description

PRIMARY RESPONSIBILITIES

  • Quality Engineering Strategy Leadership : Define, develop, and execute a comprehensive quality engineering and testing strategy specifically for Salesforce Agentforce, Data Cloud, and other relevant Salesforce platform capabilities.
  • Test Automation Expertise : Design, develop, and maintain robust automated test scripts for Agent UI, Experience Site UI, and APIs using industry-standard tools and frameworks such as Selenium, WebDriver, JavaScript frameworks, and API testing tools.
  • AI Agentforce Testing : Develop 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). Use AI and RAG testing metrics to define and measure testing outcome.
  • Data-Driven Quality : 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.
  • Functional Salesforce Testing : Design and execute functional test plans and test cases tailored to Salesforce applications, including customizations using Flows, Triggers, Apex Jobs, and more. Possess a strong understanding of Salesforce best practices and governor limits.
  • Continuous Integration Continuous Delivery (CI / CD) : Build and maintain automated quality control pipelines using Jenkins or other CI / CD tools to ensure seamless integration and deployment of high-quality software.
  • Defect Management : Effectively identify, document, track, and manage defects to ensure timely resolution and contribute to root cause analysis.
  • Collaboration Communication : Partner effectively with Product Managers, Developers, UX Designers, and other stakeholders to understand requirements, provide timely feedback, communicate testing progress, and collaborate on solutions.
  • Best Practices Standards : Establish and champion quality standards, methodologies, and best practices within the team and across the organization.
  • Performance Optimization : Continuously assess the performance of Agentforce implementations , identify potential bottlenecks, and recommend and implement proactive measures for optimization.
  • Technical Expertise : Stay up-to-date with the latest Salesforce releases, AI advancements, and emerging testing trends.
  • Stakeholder Management : Communicate testing progress, risks, and mitigation strategies effectively to various stakeholders, including both technical and non-technical audiences.
  • Agile Participation : Actively participate in Agile development methodologies, contributing to sprint planning, daily stand-ups, and retrospectives.
  • Problem-Solving Analytical Skills : Demonstrate strong analytical and problem-solving skills to identify and resolve complex quality issues effectively.

Professional Experience / Skills Required :

  • Overall 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 (e.g., Sales Cloud, Service Cloud, Data Cloud, Einstein ).
  • 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 (e.g., React, Angular, Vue.js) 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.
  • Bachelors or Masters degree in Computer Science, Software Engineering, or equivalent experience.
  • Salesforce Certifications (Preferred) :

  • Salesforce Platform App Builder
  • Salesforce Administrator
  • Salesforce-specific certifications related to Agentforce (if and when available)
  • Accommodations

    If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .

    Skills Required

    Project Management, Testing Tools, Xml, Selenium, Json, Html, Sql, Crm

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