QA Support for Preach My Gospel - Android Team- Remote

Overview

Remote
On Site
Compensation information provided in the description
Full Time

Skills

FOCUS
Test Cases
Database
Performance Testing
Scalability
Collaboration
Android
Kotlin
Automated Testing
Database QA
Unit Testing
IOS Development
Python
Java
Mentorship
Quality Assurance

Job Details

QA Support for Preach My Gospel - Android Team
Remote
12+ month contract
Pay Range $50.00-55.00/hr.

Within the Missionary Work portfolio, under the Missionary Effectiveness pillar, we are seeking a skilled Quality Assurance (QA) vendor resource to join the Preach My Gospel - Android team. This role will focus on ensuring the quality of the Preach My Gospel Android application through expertise in automation, database support, and performance testing. The position is remote, offering flexibility and the opportunity to contribute to a meaningful project.

Responsibilities
  • The individual would likely start with manual work and then hopefully help Client foundations of, build out, and create test cases within, an automation framework.
  • Develop and maintain the automation framework for the Preach My Gospel Android application.
  • Provide guidance and direction in automation for Android native applications.
  • Leverage strong database skills to support automation efforts with Knowledge Items (KIs).
  • Conduct load and performance testing to ensure application reliability and scalability.
  • Collaborate with the team to uphold overall product quality through comprehensive QA practices.
  • Apply unit testing knowledge to support development efforts, as needed.

Required Skills
  • Proven experience automating Android native apps (tools + frameworks)
  • Strong Python and/or Kotlin testing automation background
  • Solid database testing/automation experience
  • Exposure to performance and unit testing

Bonus Skills
  • iOS automation experience
  • Broader backend services automation exposure (Python/Java)
  • Ability to mentor/guide QA team members in modern automation practices
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.

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