Quality Assurance Engineer

Medical Review Institute of America; United States; A distancia; USD 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Healthcare, vision, and dental

401(k) match

Paid vacation and holidays

Growth and training opportunities

Remote work environment

Descripción de la vacante

Medical Review Institute of America in the United States is seeking a Quality Assurance Engineer to ensure the quality, reliability, and release-readiness of software across Azure-hosted and AI-enabled features.

You will design automated tests in Python and JavaScript, review code for test coverage, validate data flows with SQL, and contribute to CI/CD pipelines while ensuring HIPAA-compliant data handling.

Formación

• 5+ years of automated testing experience.
• 5+ years of manual testing experience.
• 5+ years of component-level testing experience.
• 5+ years of end-to-end testing experience.
• At least 5 years of SQL experience.
• At least 3 years of React experience.
• At least 3 years of Node.js experience.
• At least 3 years of Python in GitLab.
• At least 2 years in AI/ML testing.
• At least 2 years in RAG testing.

Responsabilidades

• Participate in the test management lifecycle from planning to defect reporting.
• Develop and maintain automated tests in Python (pytest) and Node.js.
• Write and review complex SQL queries to validate data across systems.
• Design and execute validation strategies for AI/ML and RAG features.
• Review code for sufficient test coverage with developers.
• Perform post-deployment validation in production.

Conocimientos

Automated software testing

Manual software testing

Component-level testing

End-to-end testing

SQL

React

Node.js

Python (GitLab)

AI/ML testing

RAG testing

Azure testing

Educación

High School Diploma

Bachelor’s degree (Advantage)

Herramientas

pytest

CI/CD pipelines

GitLab

Python tooling

Descripción del empleo

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 Retrieval-Augmented Generation (RAG)
• At least 2 years of experience testing generative AI features
• At least 2 years of experience testing workloads on Microsoft Azure

Education:

• High School Diploma required
• Bachelor’s degree (Advantage)

Work Environment:

Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required. This role is designed to be a remote position (work-from-home).

Diversity Statement:

Diversity creates a healthier atmosphere: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

Drug-Free Workplace: This company is a drug-free workplace. All candidates are required to pass a Background Screen before beginning employment. All newly hired employees will take a Drug Screen, as well as agreeing to all necessary Compliance Regulations on their first day of employment. Employees are required to adhere to all applicable HIPAA regulations and company policies and procedures regarding the confidentiality, privacy, and security of sensitive health information.

California Consumer Privacy Act (CCPA) Information (California Residents Only):

• Sensitive Personal Info: MRIoA may collect sensitive personal info such as real name, nickname or alias, postal address, telephone number, email address, Social Security number, signature, online identifier, Internet Protocol address, driver’s license number, or state identification card number, and passport number.
• Data Access and Correction: Applicants can access their data and request corrections. For questions and/or requests to edit, delete, or correct data, please email the Medical Review Institute at .

Originally posted on Himalayas