Test Automation Engineer – Build AI-Ready QA Frameworks

Zof AI; San Francisco, Northern (CA, KY); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Zof AI is seeking a Test Automation Engineer to bring real test-engineering craft to the agent fleets that find, reproduce, and remediate defects in customer codebases. This role owns the practice our product automates: framework design, flake elimination, coverage strategy, and CI gates that engineering teams actually trust.

The ideal candidate has built suites that held up against messy real codebases and wants to encode that judgment into agents doing the same work at scale.

Qualifications

• Experience writing automated tests for production software.
• Working knowledge of browser automation frameworks (Playwright/Cypress/Selenium).
• Ability to write clean code in Python, TypeScript, or Java.
• Understanding of CI pipelines and how tests gate releases.
• Ability to distinguish real failures from flaky tests.
• Comfort reading unfamiliar code to devise tests.

Responsibilities

• Design and maintain end-to-end test frameworks.
• Develop unit and integration coverage using pytest, Jest, or similar.
• Eliminate flaky tests to keep the suite trustworthy.
• Own coverage strategy across unit, integration, and E2E layers.
• Integrate test suites into CI gates that block releases when needed.
• Reproduce reported bugs as tight, deterministic tests.
• Mentor teams on disciplined test engineering practices.
• Collaborate with engineering and product to raise shipping quality.

Skills

Test automation

Python

TypeScript

Java

CI pipelines

Flaky test elimination

Communication

Tools

Playwright

Cypress

Selenium

Job description

Zof AI is seeking a Test Automation Engineer to bring real test-engineering craft to the agent fleets that find, reproduce, and remediate defects in customer codebases. This role owns the practice our product automates: framework design, flake elimination, coverage strategy, and CI gates that engineering teams actually trust.

The ideal candidate has built suites that held up against messy real codebases and wants to encode that judgment into agents doing the same work at scale.