Remote Backend Engineer - Build Scalable APIs

Crossing Hurdles; United States; Remote; AUD 69,000 - 138,000; Part time

Job summary

Crossing Hurdles seeks a contract Software Engineer for remote, part-time engagement (10-40 hrs/week). You will contribute backend code in Java, Go, Rust, TypeScript, Python, or C++, and help design scalable APIs and services.

Responsibilities include debugging complex defects, refactoring legacy code, and documenting decisions to support AI training data. Strong code-review and performance mindset are essential.

Qualifications

• Backend experience with Java, Node.js, Go, Rust, TypeScript, Python, or C++.
• Proven track record of building scalable services and APIs.
• Experience with debugging and automated tests.
• Solid code-review instincts.
• Experience refactoring large-scale codebases.
• Strong CS fundamentals: data structures and algorithms.

Responsibilities

• Contribute expert-level code samples, debugging strategies, and development insights in Python3, Java, Rust, Go, C++, or TypeScript.
• Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks in diverse codebases.
• Implement robust new features, ensuring scalability, maintainability, and adherence to software best practices.
• Refactor and optimize legacy code to improve clarity, efficiency, and long-term reliability.
• Document technical reasoning, solution approaches, and code decisions to enhance AI training data quality.
• Review and validate peer-contributed code and technical submissions for accuracy and clarity.

Skills

Backend development

API design

Performance debugging

Code review

Algorithms & data structures

Tools

Python

Java

Go

Rust

TypeScript

C++

Job description

Crossing Hurdles seeks a contract Software Engineer for remote, part-time engagement (10-40 hrs/week). You will contribute backend code in Java, Go, Rust, TypeScript, Python, or C++, and help design scalable APIs and services.

Responsibilities include debugging complex defects, refactoring legacy code, and documenting decisions to support AI training data. Strong code-review and performance mindset are essential.