[Hiring] QA Engineer @ECFX

Role Description

Join ECFX, a company transforming how the legal industry works through technology. Every day our platform pulls court notices and legal documents from hundreds of court portals and e-filing systems, categorizes them with AI, and delivers them into our customers' document and case management systems. When something is late, dropped, or misfiled, a law firm can miss a deadline.

We're looking for a hands-on QA Engineer who loves finding what others miss, and who uses AI to do it faster and deeper. Our engineers build with AI coding agents, so changes arrive quickly and in volume. You'll be the person who works out what could break and tests it thoroughly by hand, using AI as your co-pilot for test design, test data, investigation, and reporting. This is a testing role first. If you also enjoy building automation, there's room to use AI to create targeted automated checks where they pay off. You will have a real say in how we build, test, and ship software.

What You'll Engage In

• Test Smarter with AI: Use AI tools (such as Claude, Claude Code, Cursor, or ChatGPT) to read tickets, merge requests, and code diffs; map out risks and edge cases; draft test charters and checklists; and decide where to focus.
• Explore and Uncover: Run risk-based exploratory, functional, and regression testing across our Vue dashboard, admin tools, email notifications, and integrations.
• Validate What Matters Most: Ensure documents are retrieved, parsed, categorized, stored, and delivered correctly across many external sources.
• Test Below the UI: Verify backend and platform changes by hand, using API calls, SQL queries, logs, and dashboards.
• Build Realistic Test Scenarios: Use AI to generate test data, sample court notice emails, and edge-case documents.
• Test Our AI Features: Evaluate our AI document categorization and our LLM-facing tools.
• Guard Security and Access: Check logins, user roles and permissions, and verify security fixes.
• Reproduce and Triage: Investigate customer-reported and production issues, reproduce them reliably, and write bug reports.
• Automate Where It Pays Off (Optional): Use AI to create focused automated checks for high-risk flows.
• Agile Collaboration: Work with engineers and product managers in sprint planning, backlog refinement, and retrospectives.

Qualifications

• 3 to 7 years in software quality assurance for web or SaaS applications.
• Deep experience in exploratory and manual testing of complex, data-heavy systems.
• AI Fluency: Use AI assistants in your testing every day.
• Healthy skepticism: Verify what AI tells you and recognize when it is confidently wrong.
• Understanding of how to test systems that don't always give the same answer.
• Careful handling of data: Use synthetic or masked data with AI tools.

Requirements

• Comfort with the command line, Git, and reading logs.
• Some experience with Docker or Kubernetes is a plus.
• Experience with defect tracking and test management in Jira.

Benefits

• Modern Tooling: Company-provided AI tools with clear guidelines for using them safely.
• Real Impact: Shape how we test in an AI-assisted team.
• AI in Production: Hands-on work testing real AI features used by law firms.
• Remote Flexibility: A fully remote role open to every US time zone.
• Work-Life Harmony: Flexible working hours and a supportive approach.
• Comprehensive Coverage: A range of insurance options covering health, dental, vision, and life.
• Discretionary Time Off: Policy for unplanned time off with supervisor approval.
• Employee Stock Options: Opportunity to participate in the company stock option plan.