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FRONTSTEPS · 1 day ago

Senior QA Engineer – AI Driven Test Automation

Denver, CO

Full-time

Onsite

Mid, Senior Level

$110K/yr - $135K/yr

5+ years exp

FRONTSTEPS is seeking a Senior QA Engineer with a strong background in software development and a passion for AI-assisted test automation. The role focuses on designing and maintaining automated testing frameworks while collaborating closely with development teams to ensure quality is built into the product.

ComputerReal EstateSaaSSoftware

No H1B

Responsibilities

Analyze requirements and user stories to generate complete and high-quality test cases

Accelerate creation of automated tests across UI, API, and backend services

Improve regression coverage, edge-case discovery, and test maintainability

Continuously optimize test frameworks, execution speed, and reliability

Design, develop, and maintain robust automated test frameworks for desktop, web, mobile (iOS/Android), and backend services

Own automation for work item tests, regression suites, smoke tests, and health checks

Write clean, maintainable, and scalable test code using modern programming practices

Debug, refactor, and improve existing automation to ensure reliability and performance

Implement and maintain API and service-level tests, including REST-based validation

Build and execute load and stress testing to validate system performance and scalability

Use AI tools to accelerate test generation, improve coverage, and identify gaps

Leverage AI to assist with test data creation, edge-case analysis, and exploratory scenarios

Continuously evaluate new AI-driven approaches to test automation and quality engineering

Partner closely with engineers, product managers, and product owners to build quality into the SDLC

Collaborate with developers to align automated testing with unit, integration, and system-level tests

Participate in sprint planning, stand-ups, and retrospectives with an engineering-first mindset

Ensure defects are clearly documented, reproducible, and actionable in Azure Boards

Define, collect, and report on automation coverage, execution results, and quality metrics

Leverage AI to provide insights into quality trends and systemic issues across products

Coordinate with Support and Engineering on cross-team quality metrics and recurring issues

Qualification

Automated test frameworksAI-assisted testingREST API testingLoadStress testingC#JavaPythonSQLAgile methodologiesCommunication skillsProblem-solving skillsTime-management skills