Role Overview
StatusNeo is seeking a 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
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/GCP, 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.
Skills Required
- Experience leading QA and automation teams, providing technical guidance and mentorship
- Experience defining test strategies, quality standards, and governance processes
- Experience designing and developing scalable automation frameworks
- Programming experience with Python, Java, or TypeScript/JavaScript
- Experience with Playwright, Selenium, Cypress, Appium, PyTest, or REST Assured
- API testing experience with Postman or REST Assured
- Experience integrating automation into CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps
- Experience with cloud and container technologies such as AWS, Azure, GCP, and Docker
- Experience with test management tools including Jira, Azure DevOps, or TestRail
- Experience using AI-assisted development and testing tools
- Understanding of Generative AI, LLMs, prompt engineering, and AI evaluation frameworks
- Experience testing AI-powered applications and machine learning workflows
What We Do
xperts in CLOUD NATIVE TECHNOLOGY CONSULTING & SOLUTIONS. We build, maintain & monitor highly scalable, modular applications that leverage elastic compute, storage and network of leading cloud platforms. Backed by Digital Leadership of the Big3 in strategy consulting in the US, we partner with fortune businesses across the globe and lead their business technology transformation.
