Statusneo - QA Automation

Reposted 20 Days Ago
Be an Early Applicant
Mumbai, Maharashtra, IND
In-Office
Mid level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Automate and execute API, microservice, web, and load testing for payment systems. Write SQL for backend validation, build Selenium/JavaScript automation, run JMeter performance tests, and collaborate on CI/CD and test frameworks.
Summary Generated by Built In

Job Title: Automation QA Engineer
Location: Mumbai (Hybrid)
Experience: 3+ years

Job Description:

We are looking for an experienced Automation QA Engineer with expertise in the Payments domain. The ideal candidate should have strong skills in SQL, Microservice Testing, Web Application Testing, and API Testing (Postman), along with experience in Automation and Load Testing.

Responsibilities:
  • Payments Domain Knowledge: Familiarity with payment systems and transaction flows.
  • SQL: Write complex queries for backend validation.
  • Testing: Perform API testing (Postman), Microservice Testing, Web Testing, and Automation using Selenium and JavaScript.
  • Load Testing: Use JMeter to assess system performance.
  • Bonus Skills: Knowledge of BDD (Cucumber), TestNG, Maven, CI/CD (GitLab), and Big Data testing.
Qualifications:
  • 3+ years of experience in Automation QA.
  • Strong expertise in Selenium, SQL, Postman, JMeter.
  • Familiarity with Microservices and API testing.
  • Additional knowledge of BDD, CI/CD, and Maven is a plus.

Skills Required

  • 3+ years of experience in Automation QA
  • Expertise in Payments domain
  • Strong SQL skills
  • API testing using Postman
  • Microservice testing experience
  • Web application testing experience
  • Automation testing with Selenium
  • Automation using JavaScript
  • Load testing with JMeter
  • BDD (Cucumber)
  • TestNG
  • Maven
  • CI/CD (GitLab)
  • Big Data testing
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The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

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