Lead QA Engineer for AI-Native Systems (Remote)

Lever, Inc.; Australia; Remote; AUD 120,000 - 170,000; Full time

Benefits offered by this job

Fully remote work

Vacation 28 days per year

Wellness days

Referral bonuses up to $5,000

Training stipend for conferences

Health benefits and insurance support

Equipment and home-office stipend

Job summary

Lever, Inc. is seeking a Lead QA Engineer (AI Native) in Australia to own the quality strategy for a high-stakes AI-driven product. You will build an end-to-end testing pipeline, drive AI-assisted test approaches, and ensure reliability of critical financial flows.

You will work as an individual contributor in a senior team, shaping testing practices, and collaborating with engineering and DevOps to balance speed with safeguards in an evolving AI environment.

Qualifications

• Proven experience designing and owning testing processes for large, complex products.
• Strong software engineering foundation with CI/CD and deployment knowledge.
• Hands-on experience building automated tests and CI/CD integration.

Responsibilities

• Design and build the end-to-end testing pipeline, including pre-merge checks, nightly test runs, release validation, and production quality gates.
• Define the quality strategy for AI-generated code, identifying high-risk areas and ensuring scalable coverage.
• Build and maintain automated UI tests across browsers and mobile devices with AI-assisted approaches.
• Evaluate, select, and integrate external testing tools and services for reliability and efficiency.
• Own product reliability from a technical QA perspective, focusing on critical financial workflows.
• Collaborate with engineering and DevOps to embed quality throughout the lifecycle.
• Utilize AI coding agents daily to create, maintain, and evolve testing solutions.

Skills

QA Architect

Senior QA/SDET

Automation testing

CI/CD

AI testing

Tools

Claude Code

Codex

Cursor

Job description

Lever, Inc. is seeking a Lead QA Engineer (AI Native) in Australia to own the quality strategy for a high-stakes AI-driven product. You will build an end-to-end testing pipeline, drive AI-assisted test approaches, and ensure reliability of critical financial flows.

You will work as an individual contributor in a senior team, shaping testing practices, and collaborating with engineering and DevOps to balance speed with safeguards in an evolving AI environment.