Junior Android/iOS Developer

2 Months ago • 1-1 Years • Mobile Development • $55,000 PA - $75,000 PA

Job Summary

Job Description

As a Junior Android/iOS Developer at Patterned Learning, you'll collaborate with senior developers to design, develop, and maintain our Android and iOS applications. Responsibilities include implementing new features, improving existing functionalities, writing clean and efficient code, debugging, conducting code reviews, and staying updated on industry best practices. You'll work on exciting projects, gain hands-on experience in a fast-paced environment, and contribute to testing and quality assurance to ensure seamless user experiences. The role requires strong Android and iOS development skills, proficiency in Java, Kotlin, Swift, or Objective-C, and familiarity with RESTful APIs and version control systems.
Must have:
  • Android/iOS development experience
  • Java/Kotlin/Swift/Objective-C proficiency
  • RESTful API integration knowledge
  • Version control (Git) experience
  • Problem-solving and analytical skills
Good to have:
  • Reactive programming (RxJava, React Native)
  • Automated testing frameworks
  • Agile development methodologies

Job Details

This is a remote position.

Junior Android/iOS Developer  - Remote Job, 1+ Year Experience


Annual Income: $55K - $75K


A valid work permit is necessary in the US

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.



Description:

As a Junior Developer, you will collaborate with senior developers and participate in the design, development, and maintenance of our cutting-edge Android and iOS applications. You will have the opportunity to work on exciting projects and gain hands-on experience in a fast-paced environment.

Responsibilities:

  • Assist in the design and development of Android and iOS applications

  • Collaborate with the development team to implement new features and improve existing functionalities

  • Write clean, efficient, and maintainable code

  • Perform debugging and troubleshooting to resolve issues

  • Conduct code reviews and provide constructive feedback

  • Stay up-to-date with the latest industry trends and best practices in mobile app development

  • Collaborate with cross-functional teams to deliver high-quality applications

  • Assist in testing and quality assurance to ensure smooth and bug-free user experiences

  • Document technical specifications and project details

Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field

  • Strong understanding of Android and iOS development principles and practices

  • Proficient in programming languages such as Java, Kotlin, Swift, or Objective-C

  • Experience with mobile app development frameworks and libraries

  • Familiarity with RESTful APIs and integration of web services

  • Knowledge of version control systems (e.g., Git)

  • Excellent problem-solving and analytical skills

  • Strong communication and collaboration skills

  • Ability to learn quickly and adapt to new technologies

Preferred Qualifications:

  • Previous experience with mobile app development projects (personal or professional)

  • Knowledge of reactive programming frameworks such as RxJava or React Native

  • Familiarity with automated testing frameworks and methodologies

  • Understanding of agile development methodologies


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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