Open-Source Software Engineer: Systems & Collaboration

Crossing Hurdles

South Africa

On-site

ZAR 600,000 - 1,200,000

Full time

14 days+

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Job summary

Crossing Hurdles is seeking an experienced contributor to open-source projects to help build robust, scalable software and improve documentation.

You will contribute production-quality code, review changes, and collaborate with diverse teams to align deliverables with project goals. A strong OSS track record and familiarity with GitHub or GitLab are essential, as is comfort working on large distributed codebases and exploring AI-enabled systems.

Qualifications

  • Have strong relevant experience in contributing to open-source projects.
  • Applicants must have clear open source contributions and profiles like GitHub or GitLab.
  • Experience with C++, Python, JAVA, GoLang, Typescript, or Rust is required.
  • Previous experience working on large-scale, distributed codebases is preferred.
  • Familiarity with modern AI or machine learning systems is a plus.

Responsibilities

  • Contribute production-quality code, reviews, and documentation to open-source repositories.
  • Design, implement, and optimize complex algorithms and system components.
  • Identify and resolve technical challenges, bugs, and performance bottlenecks.
  • Collaborate with other contributors and stakeholders to align deliverables with project goals.
  • Create, maintain, and enhance technical documentation for knowledge sharing.
  • Participate in code discussions and provide constructive feedback.

Skills

Open-source contribution
Code reviews
Collaborative mindset

Tools

GitHub
GitLab

Job description

Crossing Hurdles is seeking an experienced contributor to open-source projects to help build robust, scalable software and improve documentation.

You will contribute production-quality code, review changes, and collaborate with diverse teams to align deliverables with project goals. A strong OSS track record and familiarity with GitHub or GitLab are essential, as is comfort working on large distributed codebases and exploring AI-enabled systems.

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