Patterned Learning Career · nan, Stati Uniti d'America · Hybrid
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.
Role Overview:
As an Automation QA Engineer, you will be responsible for designing, developing, and executing automated test scripts to validate the functionality and performance of our software applications. Your technical expertise and attention to detail will contribute to the delivery of high-quality software solutions.
Responsibilities:
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.
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.
Role Overview:
As an Automation QA Engineer, you will be responsible for designing, developing, and executing automated test scripts to validate the functionality and performance of our software applications. Your technical expertise and attention to detail will contribute to the delivery of high-quality software solutions.
Responsibilities:
- Collaborate closely with cross-functional teams to understand software requirements and design effective automated test plans.
- Develop and maintain automated test scripts using testing frameworks and tools (e.g., Selenium, Cypress, TestNG).
- Execute automated tests to identify defects, inconsistencies, and performance issues.
- Analyze test results, identify root causes of issues, and report defects to the development team.
- Work closely with developers to reproduce and diagnose defects as needed.
- Participate in code reviews and provide feedback to improve code quality.
- Continuously enhance and maintain the automated testing infrastructure.
- Contribute to the improvement of testing processes and methodologies.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 1 year of experience in automation testing.
- Proficiency in automation testing tools and frameworks (e.g., Selenium, Cypress, JUnit).
- Strong programming skills in languages such as Java, Python, or JavaScript.
- Experience with version control systems (e.g., Git).
- Familiarity with continuous integration and continuous deployment (CI/CD) practices.
- Analytical mindset and problem-solving skills.
- Excellent communication and collaboration abilities.
- Flexible vacation, unlimited paid holidays, and paid sick days
- 401(k) with up to 2% employer match
- Health, vision, and dental insurance
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.
