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Job Description

Job Description :


We are looking for a skilled AI Test Automation Engineer with strong experience in Salesforce testing, OmniStudio automation, and AI-driven test automation using AWS Bedrock and Agentic AI.

The ideal candidate will have hands-on experience designing, developing, and maintaining automated testing frameworks for enterprise applications. The role involves leveraging AI-powered testing solutions to improve test generation, execution, failure analysis, reporting, and overall software quality.

Key Responsibilities :

- Design, develop, and maintain automated testing frameworks for Salesforce and OmniStudio applications.

- Build and execute UI, API, integration, functional, smoke, and regression tests.

- Develop AI-powered testing agents using AWS Bedrock for test case generation, execution, failure analysis, and reporting.

- Create and maintain automated tests using Playwright, WebdriverIO, UTAM, or similar frameworks.

- Analyze Jira user stories, requirements, and acceptance criteria to identify testing scenarios and automation coverage.

- Integrate automated test suites into CI/CD pipelines using Copado or similar tools.

- Perform API and end-to-end testing across Salesforce and integrated applications.

- Conduct backend data validation using SOQL.

- Implement AI-assisted defect analysis, debugging, and root cause identification.

- Use mocks and service virtualization to support testing of external dependencies.

- Generate test execution reports, defect summaries, and test coverage metrics.

- Evaluate AI agent accuracy, reliability, guardrails, and testing effectiveness.

- Collaborate with developers, QA engineers, DevOps, and other stakeholders to improve testing efficiency and software quality.

Required Skills :

- Strong hands-on experience in Salesforce QA and test automation.

- Experience with Salesforce OmniStudio / Vlocity applications.

- Proficiency in Playwright, WebdriverIO, UTAM, or equivalent automation frameworks.

- Practical knowledge of AWS Bedrock and Agentic AI.

- Experience with Copado and CI/CD pipelines.

- Strong understanding of SOQL and Salesforce data validation.

- Programming knowledge of JavaScript, TypeScript, and/or Python.

- Experience in REST API testing and system integration testing.

- Understanding of LLM fundamentals and prompt engineering.

- Familiarity with AWS Lambda, IAM, S3, and CloudWatch.

- Experience using Jira and Git.

- Strong analytical, debugging, troubleshooting, and root cause analysis skills.

Preferred Qualifications :

- Experience building AI-powered test automation workflows or autonomous testing agents.

- Familiarity with Salesforce deployment and release management.

- Experience implementing LLM-based test case generation and intelligent defect classification.

- Strong understanding of enterprise QA processes, test coverage, and software testing best practices.

- Experience working in Agile development environments.

Ideal Candidate :

We are seeking someone who combines strong Salesforce automation expertise with practical experience in AI-powered testing. The candidate should be comfortable working across Salesforce applications, automation frameworks, AWS services, and modern CI/CD environments.

Apply Now : Candidates with relevant Salesforce QA automation and AWS Bedrock experience are encouraged to apply.

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