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Location: Remote
Work Authorization Notice: Candidates must be authorized to work in the United States for the duration of employment without requiring current or future employer sponsorship of any kind, including but not limited to OPT, STEM OPT, H-1B, or any other visa classification.
We are looking for a QA Automation Engineer to help drive quality, reliability, and stability across our Fonteva implementations. This role is responsible for developing and maintaining scalable automated testing frameworks and test suites across Salesforce, web applications, APIs, and integrations.
The QA Automation Engineer will partner closely with Solution Consultants, Solution Architects, Developers, and Project Managers to translate business requirements into comprehensive automated test scenarios, improve test coverage, and advance an automation-first approach to quality. You’ll play an important role in strengthening our quality engineering practices while supporting multiple implementations and upgrades across our Professional Services organization.
Design, develop, and maintain scalable automated testing frameworks and test suites
Build automated functional, regression, integration, end-to-end, API, and smoke tests using modern test automation tools and frameworks
Develop reusable test components, utilities, and automation accelerators that improve testing efficiency, consistency, and long-term maintainability
Continuously improve automation frameworks, engineering standards, and testing methodologies to support efficient, high-quality software delivery
Evaluate and optimize modern test automation tools and quality engineering practices to improve test coverage and delivery speed
Develop and execute automated testing across Salesforce applications, web applications, APIs, and integrations
Validate Salesforce configurations, customizations, declarative automation, Apex customizations, Lightning Web Components (LWC), Experience Cloud, and integrations
Test end-to-end business processes to ensure solutions meet functional and non-functional requirements
Validate data migrations and integrations to ensure data quality, solution compatibility, and reliability
Support implementations and upgrades through automated regression testing, release-impact assessment, and compatibility validation
Partner with Developers, Solution Architects, and Solution Consultants to understand business and technical requirements and translate them into comprehensive automated test scenarios
Identify, document, and track defects, working closely with development teams to troubleshoot issues, verify fixes, and help prevent recurring defects
Apply strong debugging, troubleshooting, and root-cause analysis skills to identify quality issues and improve software reliability
Help ensure solutions meet quality expectations across performance, security, reliability, usability, and functionality
Prepare and maintain automation documentation, including test strategies, test cases, execution reports, and quality metrics
Evaluate and implement AI-assisted testing capabilities to improve test coverage and engineering productivity
Explore AI-powered testing, intelligent test generation, self-healing automation, and other emerging quality engineering capabilities
Identify opportunities to use automation and modern testing approaches to increase testing efficiency and accelerate delivery
Continuously evaluate testing tools, frameworks, and methodologies that can strengthen quality across the software delivery lifecycle
Work closely with Developers, Solution Architects, Solution Consultants, and Project Managers throughout the implementation lifecycle
Partner with cross-functional teams to understand requirements, identify testing risks, and establish appropriate automated coverage
Manage testing activities across multiple projects and implementations simultaneously
Support implementation and upgrade teams by identifying release risks and helping ensure high-quality, stable solutions
Contribute to a collaborative, quality-focused engineering culture centered on continuous improvement
Bachelor’s degree in Computer Science, Software Engineering, or a related field
5+ years of QA Automation experience
Hands-on experience developing and maintaining automation frameworks using Playwright (TypeScript preferred), Selenium, WebdriverIO, TestRigor, or equivalent automation tools
Proficiency with JavaScript, TypeScript, Python, Git, and GitLab
Experience testing Salesforce applications and end-to-end Salesforce business processes
Experience testing Salesforce capabilities including declarative automation, Apex customizations, Lightning Web Components (LWC), Experience Cloud, and integrations
Experience building automated functional, regression, integration, end-to-end, API, and smoke testing
Experience evaluating and implementing AI-assisted testing tools to improve test coverage and engineering productivity
Strong analytical, troubleshooting, debugging, and problem-solving skills with the ability to identify root causes and improve software quality
Experience managing testing activities across multiple projects simultaneously
Ability to collaborate effectively with technical and non-technical stakeholders and translate business requirements into comprehensive automated testing scenarios
Organized, execution-focused, and comfortable balancing multiple priorities in a Professional Services environment
Experience building automation frameworks specifically for Salesforce applications
Experience testing Salesforce managed packages such as Fonteva or similar solutions
Experience with AI-powered testing tools, self-healing test automation, or intelligent test generation
Experience with performance and load testing tools such as JMeter or similar technologies
Knowledge of performance testing methodologies
Take meaningful ownership of automation frameworks and quality engineering practices supporting complex Salesforce implementations
Work across Salesforce, web applications, APIs, integrations, and end-to-end business processes rather than focusing on a single testing layer
Build reusable automation components and accelerators that can improve quality and efficiency across multiple implementations
Partner closely with Developers, Solution Architects, Solution Consultants, and Project Managers throughout the delivery lifecycle
Help advance automation-first testing and modern quality engineering practices within Professional Services
Explore and implement AI-assisted testing capabilities that can improve test coverage, productivity, and delivery speed
Make a direct impact on the quality, reliability, and stability of customer implementations
The Company offers a comprehensive employee benefits program, including:
Medical, dental, and vision insurance options
100% Employer paid short/long term disability
100% employer-paid Basic Life and AD&D insurance
401(k) retirement plan with a 100% company match up to 4%
Flexible paid personal/vacation time built on mutual trust and accountability
10 sick days annually
10 company paid holidays
12 weeks paid parental leave
Salary Range Disclosure
The base range represents the low and high end of the Togetherwork salary range for this position. Actual salaries will vary and may be above or below the range based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Togetherwork’s total compensation package for employees. Other rewards may include discretionary bonuses, long term incentives, a flexible paid vacation/personal time policy, 12 weeks paid parental leave and more.
Salary Range
$90,000- $95,000
Inclusion and Diversity: TogetherWork is an Equal Employment Opportunity Employer. We are a company where diverse backgrounds, experiences and viewpoints are valued. TogetherWork does not make hiring or employment decisions on the basis of race, color, religion, gender, gender identity, sex, sexual orientation, disability, veteran status, age, ethnic or national origin, or any other basis protected by all local, state or federal laws.
Interview Process & Expectations
Our interviews are designed to be interactive and conversational. Candidates are expected to respond based on their own experience and thinking during live interviews.
To ensure a fair and consistent interview experience, the use of real-time AI tools or other external assistance to generate or guide interview responses is not permitted. Interviews are intended to reflect an individual’s judgment, problem-solving approach, and communication.
CCPA Disclosure Notice: Click Here
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