QA Lead/Lead SDET – AI Automation & Quality Engineering

Parsippany-Troy Hills, NJ, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Contract Independent
24 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • API
  • Agile
  • Appium
  • Artificial Intelligence
  • Automated Testing
  • Cloud Computing
  • Amazon Web Services
  • Generative Artificial Intelligence (AI)
  • JIRA
  • Java
  • Jenkins
  • Machine Learning (ML)
  • QA Management
  • Quality Assurance
  • Selenium
  • Software Development Methodology
  • Testing
  • Test Strategy
  • TypeScript

Summary

QA Lead/Lead SDET – AI Automation & Quality Engineering
Location: Parsippany, NJ (Onsite)

Role Overview

StatusNeo is seeking a QA Lead / Lead SDET with AI Automation expertise to drive Quality Engineering initiatives across enterprise applications, digital platforms, APIs, cloud-native services, and AI-powered solutions.

The ideal candidate will bring strong experience in test automation, framework development, AI-driven testing, and quality leadership. This role will be responsible for defining test strategy, building scalable automation frameworks, validating AI-enabled applications, and driving continuous quality practices within Agile and DevOps environments.

Key Responsibilities

Quality Engineering & Leadership

  • Lead QA and automation teams, providing technical guidance and mentorship.
  • Define and implement test strategies, quality standards, and governance processes.
  • Collaborate with Product, Engineering, DevOps, and ML teams to ensure quality throughout the SDLC.
  • Track and report quality metrics, risks, and release readiness.

Test Automation

  • Design and develop scalable automation frameworks using Python, Java, or TypeScript.
  • Build automated test suites for UI, API, backend, integration, and end-to-end testing.
  • Integrate automation into CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps.
  • Drive Shift-Left Testing and Continuous Quality Engineering practices.

AI-Driven Testing & Validation

  • Leverage AI/LLM tools to accelerate test creation, maintenance, and optimization.
  • Implement AI-powered capabilities such as:
    • Automated test generation
    • Self-healing scripts
    • Test data generation
    • Defect prediction and analysis
  • Validate AI/ML applications by testing:
    • Accuracy and relevance
    • Hallucinations and bias
    • Model inference and ranking behavior
    • Adversarial and edge-case scenarios

Required Qualifications

Experience

  • 8–15 years of experience in QA, Test Automation, SDET, or Quality Engineering.
  • 3+ years in a QA Lead, Test Lead, or Lead SDET role.
  • Proven experience building automation frameworks from scratch.

Technical Skills

  • Programming: Python, Java, TypeScript/JavaScript
  • Automation: Playwright, Selenium, Cypress, Appium, PyTest, REST Assured
  • API Testing: Postman, REST Assured
  • CI/CD: Jenkins, GitHub Actions, Azure DevOps
  • Cloud & Containers: AWS/Azure/Google Cloud Platform, Docker
  • Test Management: Jira, Azure DevOps, TestRail

AI & Emerging Technologies

  • Experience using AI-assisted development and testing tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, ACCELQ, Mabl, Testim, or Functionize.
  • Understanding of Generative AI, LLMs, Prompt Engineering, and AI evaluation frameworks.
  • Experience testing AI-powered applications and machine learning workflows is highly preferred.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91126544
  • Position Id: 9038833
  • Posted 3 hours ago
Contact the job poster
NK

Nitesh Kumar

Recruiter @ StatusNeo Inc.
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