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Patterned Learning Career  ·  nan, états-Unis d'Amérique · Hybrid

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About the job

- Remote Job, 1+ Year Experience

Annual Income: $60K - $65K, Onsite

A valid work permit is necessary in the US/Canada

About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.

About The Job

Overview: We are seeking a talented QA Automation Engineer with extensive experience in SAP Business Technology Platform (BTP) for an exciting contract opportunity with Motion Recruitment's client, SAP. This role offers the chance to work on cutting-edge projects and contribute to the success of SAP's innovative initiatives.

Responsibilities

  • Develop and execute automated test scripts for SAP BTP applications and integrations.
  • Collaborate with cross-functional teams to understand requirements and ensure comprehensive test coverage.
  • Design and implement test automation frameworks tailored to SAP BTP.
  • Perform regression testing, smoke testing, and other types of testing to validate software quality.
  • Identify and report bugs and work closely with development teams to resolve them.
  • Participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Proven experience as a QA Automation Engineer with a focus on SAP BTP.
  • Strong proficiency in test automation tools and frameworks (e.g., Selenium, Cypress).
  • Experience working in Agile/Scrum methodologies.
  • Excellent communication skills and ability to collaborate effectively with remote teams.

Nice To Have

  • SAP certifications related to BTP or other modules.
  • Experience with performance testing and load testing tools.

Why Patterned Learning LLC?

Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.

The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.

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