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Saransh Inc

QA Automation Engineer with Cyara or Hammer/IVR

On site

Hartford, United states

Junior

Freelance

09-03-2026

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Skills

Python Java JavaScript CI/CD Version Control Test Selenium Test Automation Performance Testing Agile methodologies Regression Programming git AWS software testing api testing cloud platforms Agile SDLC Automation Testing GCP

Job Specifications

Job Title: QA Automation Engineer – Hammer/IVR

Location: Hartford, CT (Onsite from Day 1)

Job Type: Contract

Skill Metrics

API testing

OOPS

GEN AI Testing

Java

Cyara

Hammer

Must Have Skills Required For This Role

Cyara and/or Hammer On Demand
Selenium WebDriver- Automation testing
Testing multi channel (voice and chat) virtual assistants and/or agentic solutions

Job Description/ Responsibilities/ Years Of Experience

3+ years of experience in QA automation and software testing.
Overall 6+years experience needed
Strong technical expertise in core programming concepts (e.g., Java OOPs, Data Structures) with the ability to adopt and work with multiple languages such as Java, JavaScript, or Python.
Hands-on experience implementing and enhancing test automation frameworks, including designing scalable and maintainable solutions.
Hands-on experience with automation tools including Hammer On Demand, Cyara and Selenium
Strong understanding of SDLC, Agile methodologies, and QA principles.
Experience with CI/CD tools and version control systems (e.g., Git).
Frameworks & Methodologies:
BDD (e.g., Cucumber, Spec Flow)
TDD
Testing Expertise: Functional, Regression, Integration, and Performance Testing, including proficiency in backend API test automation and database testing
Healthcare Domain Knowledge: Familiarity with HIPAA compliance and healthcare workflows
Exposure to Gen AI and AI-driven tools utilized for test automation, with an understanding of how these can be integrated into QA processes

Preferred Qualifications

Conversational AI Testing: Hands-on experience or strong exposure to testing chatbots and voice-based virtual assistants across multiple platforms.
AI Model Evaluation: Familiarity with key evaluation metrics such as accuracy, precision, recall, and F1-score for assessing AI model performance.
Experience with Agentic IDEs: Familiarity with AI-powered development environments (e.g., Windsurf, Cursor, or similar) for creating, maintaining, and optimizing automated test scripts.
Experience with API testing (REST, SOAP)
Knowledge of cloud platforms (AWS, GCP, or IBM Cloud)

Education- Bachelor’s degree in Computer Science, Engineering, or related field.

About the Company

We provide recruitment, consulting and IT services for our clients, which focus on maximizing their revenue generation, enhancing business productivity and improving cost management. Know more