Junior Java Software Engineer -Remote Job ,1+Year Experience

1 Month ago β€’ 1-1 Years β€’ Research & Development β€’ Full Stack Development β€’ $55,000 PA - $76,000 PA

Job Summary

Job Description

As a Junior Java Software Engineer at Patterned Learning, you'll contribute to the development of innovative software solutions on a cutting-edge platform. Responsibilities include collaborating on design, development, and testing of applications; writing clean, efficient code; participating in code reviews; troubleshooting defects; improving existing products; and staying updated on new technologies. This role is ideal for recent graduates or those with limited experience seeking to accelerate their careers. You will work with experienced professionals in a remote setting to build a platform that helps developers code faster and more efficiently. The platform uses innovative techniques such as real-time multiplayer editing and tightly integrated code generation and output features.
Must have:
  • Bachelor's degree in CS or related field
  • Strong Java programming skills
  • Software development fundamentals
  • Collaboration and communication skills
  • Problem-solving and analytical skills
Good to have:
  • Git experience
  • Web development knowledge (HTML, CSS, JavaScript)
  • Software testing methodologies
  • Agile development (Scrum, Kanban)
  • Relevant projects or internships

Job Details

This is a remote position.

Junior Java Software Engineer -Remote Job ,1+Year Experience


Annual Income: $55K - $76K


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 an Entry Level Software Engineer, you will have the opportunity to work on cutting-edge projects, collaborate with experienced professionals, and contribute to the development of innovative software solutions. This is a great opportunity for recent graduates or individuals with limited professional experience in software engineering to quickstart their careers.

Responsibilities:

  • Collaborate with the development team to design, develop, and test software applications

  • Write clean, efficient, and maintainable code

  • Participate in code reviews to ensure high-quality standards are met

  • Identify and troubleshoot software defects and issues

  • Contribute to the improvement of existing software products

  • Keep up-to-date with emerging technologies and industry trends

  • Communicate effectively with team members to ensure successful project completion

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)

  • Strong understanding of software development fundamentals

  • Proficiency in one or more programming languages (such as Java, Python, C++, or JavaScript)

  • Familiarity with software development tools and frameworks

  • Ability to work independently and as part of a team

  • Excellent problem-solving and analytical skills

  • Strong communication and collaboration abilities

Preferred Qualifications:

  • Experience with version control systems (e.g., Git)

  • Knowledge of web development technologies (HTML, CSS, JavaScript)

  • Understanding of software testing methodologies and techniques

  • Familiarity with agile development methodologies (Scrum, Kan ban)

  • Projects or internships showcasing your software development skills


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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