QA Engineer — React Apps | Manual & Automated Testing

TechDigital Group; Edison (NJ); Presencial; USD 60.000 - 100.000; Jornada completa

Descripción de la vacante

An innovative company is looking for a skilled QA Engineer to ensure the highest quality of web applications through rigorous testing. This role involves developing and executing both manual and automated test cases for React applications, implementing end-to-end testing using tools like Cypress and Playwright, and collaborating closely with developers to create comprehensive test plans. You will also be responsible for identifying and documenting bugs, performing API testing, and maintaining CI/CD pipelines to enhance automated testing processes. If you are passionate about quality assurance and eager to contribute to cutting-edge projects, this opportunity is perfect for you.

Formación

• Expertise in manual and automated testing of web applications.
• Familiarity with tools like Cypress, Playwright, and API testing.

Responsabilidades

• Develop and execute test cases for React applications.
• Perform integration, regression, and end-to-end testing.

Conocimientos

Manual Testing

Automated Testing

API Testing

Integration Testing

Regression Testing

End-to-End Testing

Herramientas

Cypress

Playwright

Selenium

JIRA

Trello

Asana

Postman

GitHub Actions

Jenkins

Descripción del empleo

The Engineering AI/ML Manager (GL 28) is a hands on technical leader responsible for delivering AI/ML solutions from design through production while managing a small team of engineers. This role balances people leadership, technical depth, and delivery accountability, and is ideal for a manager who still codes, reviews designs, and actively guides implementation.
This role supports enterprise AI initiatives across machine learning, generative AI, LLM based solutions, and data driven automation, aligned with healthcare and regulated industry standards.

Key Responsibilities
Bachelor's degree in Computer Science, Engineering, Data Science, or related field. Experience with healthcare, payer, or regulated industries.
• Exposure to Responsible AI, model governance, and compliance reviews.
• Familiarity with vector databases, embeddings, and RAG architectures.
• Experience managing mixed onshore/offshore delivery teams.
• 7–10 years of overall engineering experience with 3+ years in AI/ML engineering.
• 2+ years of people or technical team leadership experience.
• Strong hands on experience with:
o Python and ML frameworks (TensorFlow, PyTorch, scikit learn)
o Cloud platforms (Azure preferred)
o ML model deployment and productionization
• Experience building and deploying LLM or GenAI solutions is strongly preferred.
• Solid understanding of data pipelines, APIs, and distributed systems.