Quality Assurance Automation Engineer - CRM Focused

Role: CRM QA Engineer (Automation)

Experience: 3+ years

Domain - CRM

Joining: Immediate

Role Summary:

Looking for a QA Engineer with strong CRM testing + automation experience. The person should be able to independently handle functional testing of CRM applications and work on UI automation, API testing, database validation, and CI/CD.

Technical Requirements

• 3+ years of relevant QA/testing experience.
• 2+ years of hands-on automation experience.
• Hands-on CRM testing experience.
• Experience with a CRM such as Salesforce, Microsoft Dynamics, Zoho, HubSpot, or similar.
• Strong Selenium or Playwright experience.
• Programming experience in Java, JavaScript/TypeScript, or Python.
• Experience with API testing/automation.
• Good SQL/database validation skills.
• Experience with Git.
• Exposure to Jenkins/GitHub Actions/GitLab CI or similar CI/CD tools.
• Experience with JIRA and test management tools.
• Good understanding of QA processes, SDLC/STLC, Agile/Scrum.

Key Responsibilities

• Understand requirements, user stories, and CRM workflows.
• Create test scenarios, test cases, test data, and test plans.
• Perform functional, regression, integration, system, smoke, and sanity testing.
• Test CRM modules such as Leads, Accounts, Contacts, Opportunities, Cases, Campaigns, Users/Roles, and workflows.
• Test business rules, approvals, triggers, notifications, and role-based access.
• Perform API testing and validate CRM integrations.
• Validate backend data using SQL/database queries.
• Log, track, and troubleshoot defects using JIRA.
• Perform root-cause analysis with developers.
• Develop and maintain UI automation using Selenium/Playwright.
• Work on API automation using Rest Assured/Postman/Karate or equivalent.
• Integrate automation with CI/CD pipelines.
• Support regression testing and release sign-off.
• Improve automation coverage and testing processes.

Good to Have

• Salesforce or Dynamics 365 experience.
• CRM/third-party integrations.
• Microservices knowledge.
• Performance testing.
• AWS/GCP/Azure.
• Docker/Kubernetes.
• AI-assisted testing.