Java Open Source Contributor - Remote

YO IT Consulting; Austin (CO); On-site; USD 82,656 - 165,312; Full time

Job summary

YO IT Consulting is seeking a Java Open Source Contributor for a remote contract role. The candidate will contribute production-quality code, reviews, and documentation to open-source repositories relevant to the project.

The role involves designing and implementing complex algorithms in languages such as C++, Python, JAVA, GoLang, Typescript, or Rust, identifying performance bottlenecks, and collaborating with other contributors to meet project goals.

Qualifications

• Experience contributing to production-quality code and open-source projects.
• Strong problem-solving and debugging skills.
• Familiarity with modern programming languages and software development practices.

Responsibilities

• Contribute production-quality code, reviews, and documentation to open-source repositories relevant to the customer’s project.
• Design, implement, and optimize complex algorithms and system components using languages such as C++, Python, JAVA, GoLang, Typescript, or Rust.
• Identify and resolve technical challenges, bugs, and performance bottlenecks in existing codebases.
• Collaborate with other contributors and stakeholders to align deliverables with project goals and best practices.
• Create, maintain, and enhance technical documentation to support knowledge sharing and onboarding.
• Participate in code discussions and provide constructive feedback to elevate overall code quality.

Job description

Job Description

Role Title: Java Open Source Contributor

Role Type: Contract

Location: Remote

Scope Of Work

• Contribute production-quality code, reviews, and documentation to open-source repositories relevant to the customer’s project.
• Design, implement, and optimize complex algorithms and system components using one or more of the following languages: C++, Python, JAVA, GoLang, Typescript, or Rust.
• Identify and resolve technical challenges, bugs, and performance bottlenecks in existing codebases.
• Collaborate with other contributors and stakeholders to align deliverables with project goals and best practices.
• Create, maintain, and enhance technical documentation to support knowledge sharing and onboarding.
• Participate in code discussions and provide constructive feedback to elevate overall code quality.

Preferred Qualifications

• Previous experience working on large-scale, distributed codebases.
• Familiarity with modern AI or machine learning systems is a plus, though not required.
• Background in participating in rigorous code reviews and contributing to the development of software best practices.