QA Automation Engineer — Salesforce FSL & Field Service

Valiant Technologies LLC

Michigan

On-site

USD 86,000 - 123,000

Full time

24 hours ago
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Job summary

Valiant Technologies LLC in St. Louis, MI seeks an experienced QA Automation engineer with strong Salesforce Field Service Lightning (FSL) expertise and Field Workforce Management background.

The role focuses on delivering robust automated testing across Field Service processes, including scheduling, dispatch, and maintenance workflows. Applicants should be proficient in creating functional requirements, user stories, and acceptance criteria, and comfortable with end-to-end testing, UAT, and

Qualifications

  • QA Automation tester with Salesforce Field Service / Field Service Lightning (FSL)
  • Experience with Field Workforce Management
  • Strong understanding of Field Service, Maintenance, and Construction processes
  • Expertise in technician scheduling, routing, dispatch, capacity planning, and appointment management
  • Experience conducting requirements workshops and gathering business requirements
  • Ability to create functional requirements, user stories, and acceptance criteria
  • Experience supporting integration testing, end-to-end testing, UAT, and business readiness
  • Excellent client-facing communication and stakeholder management skills
  • Telecom/Cable domain experience preferred

Skills

QA Automation
Salesforce Field Service Lightning (F
Field Workforce Management
Field Service processes
Scheduling & dispatch
Requirements workshops
User stories & acceptance criteria
Integration testing/UAT
Client-facing communication
Telecom/Cable domain

Job description

Valiant Technologies LLC in St. Louis, MI seeks an experienced QA Automation engineer with strong Salesforce Field Service Lightning (FSL) expertise and Field Workforce Management background.

The role focuses on delivering robust automated testing across Field Service processes, including scheduling, dispatch, and maintenance workflows. Applicants should be proficient in creating functional requirements, user stories, and acceptance criteria, and comfortable with end-to-end testing, UAT, and

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