Quality Assurance Engineer

Description

Who We Are - Motivated by Purpose. Powered by Clinical Expertise.

Founded in 1983, we’re a clinically-driven, tech-enabled utilization management company offering expert clinical reviews, regulatory guidance, and actionable insights to healthcare organizations.
Excellence starts with our people.
WE OFFER

- A competitive compensation package

- Benefits include healthcare, vision, and dental insurance

- A generous 401(k) match

- Paid vacation, PTO, and holidays

- Growth and training opportunities

- An award-winning remote work environment

POSITION OVERVIEW

Quality Assurance Engineer is a corporate function within the Engineering organization responsible for the quality, reliability, and release-readiness of software products built on modern technologies, including cloud-native applications hosted on Microsoft Azure and AI/ML-enabled features.
Roles:

- Primary role is testing software applications created or updated by the Application Development team.

- Conduct structured peer and code reviews of test artifacts to ensure adherence to standards and best practices.

- Design, create, and maintain realistic and compliant test data sets, including synthetic data for healthcare (PHI-safe) scenarios.

- Design and execute validation strategies for AI/ML and Retrieval-Augmented Generation (RAG) features, including model quality, grounding, and safety evaluation.

Major Responsibilities or Assigned Duties:

- Participate in the test management lifecycle, including test planning, execution tracking, defect management and reporting.

- Provide input on release readiness criteria to Engineering and Product stakeholders.

- Maintain the regression suite after every release.

- Develop and maintain automated test suites in Python (e.g., pytest) and JavaScript/Node.js, integrated into CI/CD pipelines.

- Write and review complex SQL queries, joins, and aggregations to validate data accuracy, completeness, and reconciliation across systems.

- Validate data flows across source systems, transformation layers, and reporting/consumption layers.

- Ensure test data supports both functional automation and AI/ML / RAG evaluation needs.

- Design and execute test strategies for AI/ML and Retrieval-Augmented Generation (RAG) pipelines and AI-assisted features, including retrieval accuracy, grounding, hallucination, output quality, bias/safety, and drift (regression) checks.

- Build and maintain automated evaluation harnesses and datasets for AI/ML features, including prompt/response scoring and metric tracking.

- Validate applications, APIs, and test environments deployed on on-prem data center, Microsoft Azure, including Azure-hosted services, data stores, and CI/CD pipelines.

- Read and interpret React / Node.js / Python / ColdFusion source code, pull requests, and technical designs to identify testable conditions, edge cases, and regression risk.

- Write detailed test cases and test plans that trace directly to code paths, business rules, and acceptance criteria.

- Partner with developers during code review to flag insufficient test coverage, untested branches, and high-risk changes before merge.

- Perform post-deployment validation to confirm application, API, and AI feature stability in production.

- •Investigate production defects and data issues, perform root cause analysis, and drive resolution with Engineering.

Requirements
Skills and Experience:

- 5+ years of experience in automated software testing

- 5+ years of experience in manual software testing

- 5+ years of experience in component-level testing

- 5+ years of experience in end-to-end testing

- At least 5 years of experience in SQL

- At least 3 years of experience in React

- At least 3 years of experience in Node.js

- At least 3 years of experience with Python source code in GitLab

- At least 2 years of experience testing AI/ML

- At least 2 years of experience evaluating AI/ML

- At least 2 years of experience testing Retrie