QA Lead/Sr. SDET

StatusNeo Technology Consulting; Parsippany-Troy Hills (NJ); On-site; USD 120,000 - 190,000; Full time

Job summary

StatusNeo Technology Consulting in Parsippany, NJ seeks a Lead/SDET with AI automation expertise to steer quality engineering across enterprise apps, APIs, and cloud services. You will define test strategies, build scalable automation, and drive continuous quality in Agile/DevOps environments.

The ideal candidate brings 8+ years in QA/automation, strong leadership, and experience with AI-driven testing and ML workflows. Join a global AI-native transformation firm focused on Authentic AI.

Qualifications

• 8+ years of work experience in QA/Delivery leadership.
• Strong automation framework development and leadership experience.
• Experience with AI-driven testing and ML workflows is highly preferred.

Responsibilities

• Lead QA and automation teams with technical guidance and mentorship.
• Define and implement test strategies, standards, and governance across SDLC.
• Collaborate with Product, Engineering, DevOps, and ML teams to ensure quality.

Skills

QA Leadership

Automation

AI Testing

Tools

Playwright

Selenium

Cypress

Appium

PyTest

REST Assured

Postman

Job description

Parsippany, United States | Posted on 08/20/2026

• CoE/Practice Architecture, Delivery & Leadership
• Work Experience 8+ years
• City Parsippany
• State/Province New Jersey
• Country United States

Job Description

StatusNeo is a global AI-native transformation firm helping enterprises design, engineer, and govern AI-led systems with trust at the core.

We work with global enterprises across BFSI, retail, healthcare, airlines, and platform-driven industries to transform how software is built, operated, and scaled in an AI-first world.

Our work is anchored in Authentic AI™ — an approach that treats AI not as a feature or experiment, but as a continuously evolving system that must be engineered with intent, accountability, and governance.

At StatusNeo, we don’t just talk about AI transformation.

We build it — across engineering platforms, AI-native SDLC, agentic systems, and enterprise operating models.

StatusNeo is seeking a Lead/SDET withAI Automation expertise to drive Quality Engineering initiatives acrossenterprise applications, digital platforms, APIs, cloud-native services, andAI-powered solutions.

The ideal candidate will bringstrong experience in test automation, framework development, AI-driven testing,and quality leadership. This role will be responsible for defining teststrategy, building scalable automation frameworks, validating AI-enabledapplications, and driving continuous quality practices within Agile and DevOpsenvironments.

Key Responsibilities

Quality Engineering &Leadership

• Lead QA and automation teams,providing technical guidance and mentorship.
• Define and implement teststrategies, 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 scalableautomation frameworks using Python, Java, or TypeScript.
• Build automated test suites forUI, API, backend, integration, and end-to-end testing.
• Integrate automation into CI/CDpipelines using Jenkins, GitHub Actions, or Azure DevOps.
• Drive Shift-Left Testing andContinuous Quality Engineering practices.

AI-Driven Testing &Validation

• Leverage AI/LLM tools toaccelerate test creation, maintenance, and optimization.

Implement AI-poweredcapabilities such as:

• Automated test generation
• Self-healing scripts
• Defect prediction and analysis

Validate AI/ML applications bytesting:

• Accuracy and relevance
• Hallucinations and bias
• Model inference and ranking behavior
• Adversarial and edge-case scenarios

Required Qualifications

Technical Skills

• Automation: Playwright, Selenium,Cypress, Appium, PyTest, REST Assured
• API Testing: Postman, REST Assured

AI & Emerging Technologies

• Experience using AI-assisteddevelopment 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-poweredapplications and machine learning workflows is highly preferred.