Remote Quality Assurance Engineer

MRIoA•Mountain View, CA

9d•Remote

About The Position

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.

Requirements

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
High School Diploma required

Nice To Haves

Bachelor’s degree (Advantage)

Responsibilities

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.
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.