Description

Job Description

Salesforce QA with Agentforce experience

Mandatory Technical Skills

Salesforce Core Knowledge: 5+ years of hands-on testing experience across Salesforce Sales Cloud, Service Cloud, Lightning Experience, and declarative platform capabilities (Flows, Validation Rules, Security Model).

Agentforce & Generative AI: Minimum 1 year of practical experience designing test scenarios for Salesforce Agentforce (formerly Einstein Copilot/Bots), Prompt Builder, Model Builder, and Einstein Trust Layer.

API & Integration Testing: Strong hands-on proficiency testing REST/SOAP APIs, JSON payloads, and integration flows using Postman, SoapUI, or cURL.

Test Automation: 3+ years scripting and executing UI and API tests.

Database & Query Skills: Proficiency with SOQL, SOSL, and basic SQL to query records, audit trail logs, and Data Cloud entities.

Preferred Technical Experience

Familiarity with LLM evaluation frameworks.

Experience with enterprise delivery tools: Jira, Confluence, Copado, Flosum, or Gearset.

Background in highly regulated enterprise sectors (Banking, Financial Services).

Roles & Responsibilities

As a Senior Salesforce QA Engineer specializing in Agentforce, you will lead the quality engineering and validation strategy for enterprise-grade autonomous AI agents and core Salesforce platform solutions. Acting at the intersection of traditional Salesforce CRM architecture and next-generation autonomous AI, you will ensure that autonomous agents powered by the Atlas Reasoning Engine perform accurately, securely, and deterministically within client workflows.

You will define and execute comprehensive test strategies encompassing prompt evaluation, action execution, grounding data integrity, guardrail compliance, and end-to-end regression across multi-cloud Salesforce environments (Service Cloud, Sales Cloud, Financial Services Cloud, and Experience Cloud)

Key Skills

Education

Any Graduate