Lead Quality Assurance Engineer

Groupe Kardol

New York (NY)

Hybrid

USD 150,000 - 185,000

Full time

14 days+
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Benefits offered by this job

Equity
Health insurance
401K
Flexible PTO

Job summary

Groupe Kardol in New York is seeking a Lead QA Automation Engineer to own the QA automation framework in an AI-assisted development environment. You will lead testing strategies, collaborate with the CTO and backend, data, and product teams, and drive the integration of security-aware practices as the platform scales.

This is a hybrid role based in Midtown Manhattan, offering ownership, autonomy, and the chance to shape modern QA.

Qualifications

  • 7+ years in QA engineering with hands-on automation.
  • Experience with AI tools in testing workflows.
  • Familiarity with DAST/SAST and vulnerability scanning.
  • Ownership of end-to-end QA in fast-paced environments.

Responsibilities

  • Own and evolve the QA automation framework for an AI-assisted environment.
  • Build testing pipelines aligned with AI-accelerated feature delivery.
  • Introduce security-aware testing into CI/CD including vulnerability scanning.
  • Partner with backend and data engineering for release quality standards.
  • Ensure QA and security validation scales with team growth.

Skills

QA automation
AI in testing
Security concepts in testing

Tools

Playwright
Cypress
Selenium

Job description

Lead QA Automation Engineer (AI-Native & Security-Aware)


New York (Hybrid - 3 days on-site) | $150K–$185K Base | Full-Time


We're hiring on behalf of a well-funded, early-stage technology company in Midtown Manhattan. Small senior engineering team, high autonomy, real ownership. The platform operates in a stable, regulated industry with long-term demand.


This is not a maintenance role. You would own the entire QA function - reimagining automation through the lens of agentic AI and introducing security-aware testing practices as the platform scales. You'd report directly to the CTO and work alongside recently hired leads in backend engineering, data, and product.


What you'd be doing


  • Own and evolve the QA automation framework for an AI-assisted development environment

  • Build testing pipelines that work alongside AI-accelerated feature delivery

  • Introduce security-aware testing into CI/CD - vulnerability scanning, AppSec automation, penetration testing concepts

  • Partner with backend and data engineering leads on release quality standards

  • Build toward a model where QA and security validation scale with the team, not against it


What we're looking for


  • 7+ years in QA engineering with hands-on automation (Playwright, Cypress, Selenium, or equivalent)

  • Actively using AI tools in your workflow - not just aware of them, but building a point of view on how they change testing

  • Genuine familiarity with application security concepts - DAST/SAST, pen testing basics, vulnerability scanning

  • You've owned QA end-to-end in a fast-moving environment and set the standards, not just followed them

  • Strong communicator who can operate autonomously in a lean team


Nice to have


  • Experience in fintech or regulated-adjacent industries

  • Exposure to agentic pipelines or LLM-integrated applications

  • Security certifications (CEH, OSCP)

  • Startup experience


JS/TS stack. Node backend. Equity, health insurance, 401K, flexible PTO.


If you want ownership, direct access to engineering leadership, and the chance to define what modern QA looks like in an agentic development environment.

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