EverHealth - QA Automation Engineer

Role Overview

We are seeking a Senior QA Automation Engineer to focus on EverHealth platforms with a deep background in Medical Billing Systems and Revenue Cycle Management (RCM). This role is for a technical leader who can bridge the gap between complex healthcare financial workflows and cutting-edge automation.

You will be responsible for architecting a modern testing ecosystem using Playwright, while integrating Generative AI to revolutionize how we validate claim lifecycles, clearinghouse integrations, and financial reconciliation. The ideal candidate doesn't just find bugs—they build intelligent systems to prevent them.

Key Responsibilities

• End-to-End Billing Validation: Architect automated test suites covering the full billing lifecycle: patient eligibility, claim scrubbing, electronic remittance advice (ERA), and payment posting.
• Modern Framework Architecture: Design and maintain a high-performance automation framework from the ground up using Playwright (TypeScript).
• AI Strategy & Implementation: Lead the integration of Agentic AI workflows to automate test case generation, maintain self-healing scripts, and simulate complex payer-specific rejection scenarios.
• RCM Data Integrity: Ensure 100% accuracy of financial data flow between front-end UI, backend APIs, and database layers using advanced SQL and API testing.
• Continuous Innovation: Stay at the forefront of QA technology, transitioning traditional testing processes into autonomous, AI-augmented workflows to increase deployment velocity.

Required Technical Skills

• Automation Mastery: Expert-level proficiency with Playwright. Proven experience building scalable, maintainable frameworks in a CI/CD environment.
• AI & LLM Integration: Hands-on experience using AI coding assistants (e.g., Cursor) or leveraging LLM APIs (Anthropic/OpenAI) to optimize the software testing lifecycle.
• Backend Validation: Strong SQL skills for complex data verification and experience with RESTful API testing (Playwright API RequestContext or Postman).
• Cloud & Infrastructure: Familiarity with executing automation at scale within cloud environments (AWS/Azure).

Qualifications

• Experience: 5–7 years in a professional QA Automation role, specifically within the healthcare or fintech sectors.
• Leadership: A track record of taking ownership of quality for a product vertical and mentoring peers on automation best practices.
• Problem Solving: Ability to deconstruct complex financial business logic into robust, automated verification points.
• Education: BS/MS in Computer Science, Health Informatics, or a related field.

Where:

The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K., Jordan, New Zealand, and Australia. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States – if you’re close to one of our offices, we can set you up in-office or you can work 100% remotely. Please note that you must be eligible to work without sponsorship to qualify for this position, and this role may require travel to our Corporate Headquarters in Denver, Colorado, or to other office locations around North America.

Benefits and Perks:

• Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid 

• Continued investment in your professional development 

• Day 1 access to a robust health and wellness benefits package, including an annual wellness stipend. 

• 401k with up to a 4% match and immediate vesting 

• Flexible and generous (FTO) time-off 

• Employee Stock Purchase Program 

Compensation:  

EverCommerce is committed to equal pay and transparency. The annual base salary range for this position is $85,000 - $100,000 USD Per Year. Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. EverCommerce considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, candidate’s work location, education/training, key skills, internal peer equity, external market data, as well as, market and business considerations when making compensation decisions.