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QA Automation Engineer


Job ID : 34670

Location : Los Angeles, CA

Company Name : Dart Point

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $103700 - $104200  per hour

No. of Positions : I have ongoing need to fill this role


Required Skills : Understanding of containers, Kubernetes, Docker..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Responsibilities:

  • Hands-on involvement in all phases of product development, including planning, design, implementation, and execution of manual and automated tests, defect logging and verification, and reporting results.
  • Take ownership and responsibility for the design and development of all aspects of automated testing along with creation, execution and maintenance of automated scripts.
  • Implement, track, and report key metrics to assure full coverage of functional and non-functional requirements.
  • Coordinate with other teams to assure end-to-end verification of functionality across all systems components.
  • Consistently improve test automation infrastructure and coverage
  • Champion quality throughout the development process.

Requirements:

  • 5 years automated testing experience preferably UI and services layer.
  • Must have strong experience with writing QA automation frameworks using tools like Selenium/WebDriver and Appium
  • Experience building automation frameworks.
  • Familiarity with SQL, databases, and data-driven automated tests.
  • DevOps experience is a plus.
  • Proficient in developing automated test systems for transactional web applications, including testing of RESTful web services and client-side presentation functionality.
  • Hands on experience in developing integration testing framework for distributed systems software.
  • Experience with Continuous Integration systems, Continuous Delivery pipelines and Integration Testing.
  • Professional Requirements.
  • Strong written and verbal communication skills.

Key Skills:

  • UNIX/ Shell scripting basics.
  • CI/ CD pipelines using tools such as Jenkin.
  • Resilience testing.
  • Knowledge of performance testing tools such as Gatling and JMeter.
  • Understanding of containers, Kubernetes, Docker.

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