Remote | Cyber Security Engineer — $30–$100/hour

24-MAG offers a specialised consulting opportunity for experienced Cyber Security Engineers supporting an advanced AI training and software-evaluation project. The role focuses on analysing and improving complex codebases, identifying and remediating vulnerabilities, performing security assessments, debugging software issues, and contributing technical insights for high-quality AI training data.

Responsibilities:

• Identify vulnerabilities and security weaknesses across diverse software systems
• Perform penetration testing, vulnerability assessment, and security-focused code review
• Evaluate application behaviour for exploitable or unsafe implementation patterns
• Recommend practical remediation approaches for identified risks
• Apply professional cybersecurity judgement across varied technical scenarios
• Analyse and resolve complex software bugs and technical defects
• Identify root causes across unfamiliar or evolving codebases
• Fix issues while preserving expected system behaviour
• Validate changes through appropriate testing and technical review
• Document debugging approaches and technical findings clearly
• Implement new features and enhance existing functionality
• Work across Python 3, Java, Rust, Go, C++, TypeScript, or comparable languages
• Contribute to backend services and production-quality software systems
• Apply strong algorithms, data structures, and engineering principles
• Design solutions with scalability, maintainability, and security in mind
• Refactor legacy code to improve maintainability, reliability, and security
• Identify software-performance bottlenecks and inefficient implementation patterns
• Optimise applications for scalability and operational performance
• Apply secure software-development lifecycle principles where relevant
• Balance technical performance with code quality and long-term maintainability
• Conduct codebase audits and document significant security findings
• Provide clear recommendations for technical and security improvements
• Communicate complex risks and engineering trade-offs concisely
• Contribute real-world technical insights to AI training and evaluation datasets
• Support consistent quality standards across security and software-engineering tasks

Requirements:

• • Strong professional experience in cybersecurity, backend engineering, or secure software development
• • Expertise in one or more of Python 3, Java, Rust, Go, C++, or TypeScript
• • Proven experience debugging and resolving complex software issues
• • Strong background in penetration testing, security auditing, and vulnerability assessment
• • Experience reviewing code for security weaknesses and implementation risks
• • Strong understanding of algorithms, data structures, and core computer-science concepts
• • Experience refactoring mature or large-scale codebases
• • Strong performance-optimisation and backend-development skills
• • Familiarity with secure software-development lifecycles
• • Good understanding of modern threat landscapes and common security risks
• • Strong analytical and problem-solving ability
• • Excellent technical communication and documentation skills
• • Experience with AI-related or data-driven projects is advantageous but not required
• • No prior AI-training or model-evaluation experience is required
• • Fully remote
• • Expected commitment: approximately 15 hours per week
• • Flexible schedule; contributors may choose their working hours and days, including weekends