Job Description
Job DescriptionDescription:
About Amplifire
Amplifire is a rapid-growth, private equity-backed company transforming how people learn and retain knowledge. Our platform applies breakthroughs in brain science and AI to detect and correct knowledge gaps—helping people master learning faster, retain knowledge longer, and perform better in their jobs. We serve high-stakes industries including healthcare, accounting, professional services, government, and education—where better learning directly improves outcomes.
Description
Amplifire is seeking a QA Automation Engineer to help improve software quality through automation, modern testing practices, and AI-assisted workflows. This role combines automated testing, manual testing, and emerging AI-assisted approaches to improve test coverage, system reliability, and release confidence.
You will help build and maintain automated regression suites, contribute to AI-assisted testing workflows, and support testing efforts across frontend and backend systems. This role includes a combination of hands-on automation work, exploratory testing, and collaboration with engineering and product teams to ensure high-quality releases.
While AI-assisted QA is still evolving within Amplifire, the team actively uses modern AI tools to improve efficiency, streamline testing workflows, and accelerate coverage.
Amplifire operates in a regulated environment (e.g., FedRAMP, SOC 2), where auditability, correctness, and reliability matter alongside development speed.
What You’ll DoAI Assisted Testing & Quality Engineering
• Use LLMs and AI agents as a core part of test design, analysis, and automation workflows.
• Use AI-driven testing systems that simulate user behavior and surface regressions.
• Help evaluate AI-driven features for quality, reliability, and consistency.
• Follow and contribute to evolving best practices for AI-assisted QA workflows.
• Use modern AI tools to improve testing efficiency and workflow effectiveness.
Automation, Manual Testing & Quality Fundamentals
• Build and maintain automated regression suites using Cypress or similar frameworks.
• Partner with engineering and product to embed quality early.
• Perform manual and exploratory testing for complex workflows.
• Maintain high-quality test cases and documentation.
• Track defects in Jira and contribute to quality metrics.
• Conduct root cause analysis on production issues.
Requirements:
Qualifications
We care less about titles and more about demonstrated capability. The right person brings a strong foundation in QA along with hands-on experience applying modern AI tools to real testing challenges.
Required Experience
· 3+ years of experience in Quality Assurance, including designing and maintaining automated test frameworks in production environments.
· 2+ years of experience with Cypress or similar modern E2E testing frameworks.
· Strong QA fundamentals, including test coverage strategy, risk assessment, defect writing, and regression planning / execution.
AI & Modern Tooling
· Hands-on experience applying AI/LLMs to testing workflows, such as generating test cases, analyzing results, and improving coverage.
· Experience testing AI/LLM-driven features.
· Familiarity with modern AI development tools and workflows (e.g., Copilot, Claude Code, or similar), applied pragmatically.
Technical & Collaboration skills
· Comfortable working across a modern web stack (e.g., React, TypeScript, Java, Python) and combining automation, manual, and exploratory testing for full system coverage.
· Strong debugging and problem-solving skills.
What Success Looks Like
Within your first year, success in this role looks like:
· Automated test coverage becomes more reliable and easier to maintain.
· Regression testing effort is reduced through increased automation.
· AI-assisted workflows improve testing efficiency and reduce repetitive work.
· AI-first workflows are adopted and usable by other QA engineers.
Compensation
• Base salary range: $105,000 – $120,000
• Final compensation will be based on experience and qualifications.