QA Automation Engineer - Princeton, NJ (Hybrid)

Hybrid in Princeton, NJ, US • Posted 2 hours ago • Updated 2 hours ago

Contract W2

Contract Corp To Corp

No Travel Required

Hybrid

Depends on Experience

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Job Details

Skills

QA Automation Engineer
Manual testing
Generative Artificial Intelligence (AI)
Artificial Intelligence
Automated Testing
Performance Testing

Summary

Title: QA Automation role
Location: Princeton, NJ (Hybrid 2 days onsite)

Duration: Long-term
Expr level – 10+ years

Overview: It’s a manual + automation role. The client wants the candidate to understand the manual use cases and automate as required. If they are also able to use AI for the same, that’s an added advantage

Qualifications & Experience:

Experience in comprehensive software testing, covering both manual and automated testing processes.
Proven expertise in Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).

Technical Skills:

Advanced proficiency in automation tools and technologies, including Java, Python, Selenium, JUnit, TestNG, and Cucumber.
Strong command of SQL for data manipulation, querying, and validation.
Hands-on experience with API testing tools such as Postman and Rest Assured.
Proficient in Linux operating systems and command-line utilities.
Working knowledge of AWS services, like S3, ECS
Familiarity with message brokers such as AMQ (ActiveMQ or Apache MQ) for testing messaging and integration scenarios
Familiarity with Databricks will be a plus

Analytical & Communication Skills:

Exceptional analytical and problem-solving abilities, with meticulous attention to detail.
Excellent communication and interpersonal skills; adept at collaborating with cross-functional teams.

Testing & Methodologies:

Experience supporting test strategy development, particularly for integration testing across multiple applications and systems.
Demonstrated ability to proactively resolve issues and escalate when necessary.
Skilled in testing web-based and API-driven systems, with a focus on identifying user experience issues.
Familiarity with Agile methodologies and CI/CD pipelines.
Exposure to Generative AI (GEN AI) tools is preferred.
Experience in performance testing is 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: 10416061
Position Id: 8923610
Posted 2 hours ago

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