• Develop, maintain, and evolve data pipelines using Apache Airflow (MWAA); • Build data ingestion, transformation, and provisioning processes (ETL/ELT); • Develop solutions using Python, Spark, and AWS services; • Implement and support data architectures in Data Lake, Lakehouse, and Data Warehouse environments; • Perform data modeling to meet analytical and business needs; • Ensure data quality, governance, and observability of processed data; • Monitor and optimize the performance of data pipelines and processes; • Collaborate with business, analytics, and technology teams to evolve the data platform; • Support the definition of best practices, standards, and continuous improvements across the data ecosystem.

Role Description We are sharing a specialised remote consulting opportunity for experienced security engineers with strong coding agent experience, practical secure engineering judgment, and the ability to evaluate code, architectures, vulnerabilities, and implementation risks across realistic security engineering scenarios. This role supports current and upcoming remote consulting opportunities focused on secure code evaluation, security architecture review, coding-agent-assisted technical assessment, vulnerability analysis, and production security risk assessment. Selected professionals may use tools such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable coding agents to complete, review, and evaluate technical tasks involving application security, cloud security, infrastructure security, vulnerability management, security tooling, and secure system design. Key Responsibilities - Secure Code Evaluation - Use modern coding agents to complete and evaluate complex security engineering tasks - Review generated code for vulnerabilities, insecure patterns, implementation flaws, maintainability issues, and production-readiness - Identify bugs, edge cases, security-related failure modes, and weak assumptions in technical outputs - Apply professional security engineering judgment to realistic software and infrastructure scenarios - Security Architecture & Risk Review - Evaluate generated architectures for security risks, access control weaknesses, insecure data flows, misconfigurations, and threat exposure - Review technical decisions related to application security, cloud security, infrastructure security, vulnerability management, and secure deployment patterns - Assess whether proposed solutions reflect real-world security engineering standards and production system expectations - Provide structured feedback on risk areas, mitigation quality, implementation trade-offs, and secure design choices - Coding Agent Output Assessment - Compare outputs from multiple coding agents and assess their strengths, weaknesses, accuracy, and practical usefulness - Identify where generated solutions succeed, where they fail, and where additional security engineering judgment is required - Evaluate whether generated code and architecture reflect secure engineering practices - Document technical review findings clearly for project teams and quality evaluation workflows - Technical Documentation & Feedback - Produce clear, structured evaluations of security engineering tasks and generated outputs - Explain reasoning around vulnerabilities, secure architecture, implementation flaws, risk trade-offs, failure modes, and mitigation strategies - Support technical assessment workflows by documenting accepted work, improvement areas, and practical engineering conclusions - Help ensure outputs reflect production-scale security engineering expectations Qualifications - 2+ years of professional security engineering experience - Hands-on experience with application security, cloud security, infrastructure security, vulnerability management, security tooling, or secure software development - Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable tools - Ability to identify flaws in generated code, system designs, and technical architectures - Experience securing production systems is strongly preferred - Strong understanding of secure coding, threat modelling, authentication, authorization, secrets handling, input validation, dependency risk, cloud misconfiguration, and infrastructure security - Clear written communication skills and comfort documenting technical reasoning in a remote, project-based environment Educational Background - A degree in Computer Science, Cybersecurity, Software Engineering, Computer Engineering, Information Security, Information Systems, or a related technical field is helpful - Equivalent professional experience in security engineering, application security, cloud security, infrastructure security, or production software security is also highly relevant Nice to Have - Experience with secure code review, penetration testing, threat modelling, vulnerability triage, security tooling, or cloud security assessment - Familiarity with OWASP Top 10, secure SDLC practices, dependency scanning, SAST/DAST tools, container security, IAM, secrets management, or CI/CD security - Experience with AWS, Azure, GCP, Kubernetes, Terraform, Docker, GitHub Actions, GitLab CI/CD, or comparable infrastructure and deployment tooling - Background in technical code review, security architecture review, incident response, vulnerability management, or production system hardening - Strong comfort working in sprint-based project environments with focused technical assessment windows Why This Opportunity - Remote consulting work aligned with security engineering, coding agent, and technical evaluation expertise - Opportunity to evaluate realistic security engineering workflows involving secure code, architecture review, vulnerabilities, cloud systems, and infrastructure risk - Suitable for engineers who enjoy technical assessment, tool-assisted coding workflows, secure design review, and practical risk analysis - Sprint-based project work that can align with focused availability and remote schedules Contract Details - Independent contractor engagement - Fully remote and flexible scheduling - Sprint-based, project-based availability - Some project work may run in focused 12–24 hour sprint windows depending on project requirements - Compensation may reach up to $90/hour, depending on project scope, experience, and accepted work structure - Some projects may use accepted-task compensation depending on the specific workflow - Payments are made weekly via Stripe or Wise based on services rendered - Projects may be extended, shortened, adjusted, or concluded based on project needs and performance - Candidates requiring H1-B or STEM OPT sponsorship support are not eligible at this time - Work must not involve sharing confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

Role Description We are sharing a specialised part-time consulting opportunity for experienced open-source software engineers with strong public contribution histories and deep expertise in Python, Java, C, JavaScript, TypeScript, or comparable programming languages. This role supports current and upcoming remote consulting opportunities focused on software engineering evaluation, coding task design, test case development, code quality review, and technical assessment across real-world programming scenarios. Selected professionals may apply their open-source experience to evaluate code behaviour, assess engineering approaches, review software architecture, and contribute high-quality technical judgment across multiple programming languages. Key Responsibilities - Coding Evaluation & Task Design - Design and review evaluations for a wide range of coding tasks across JavaScript, TypeScript, Python, Java, C, or comparable languages. - Assess coding problems for clarity, correctness, practical relevance, and engineering difficulty. - Develop test cases that accurately evaluate system behaviour across diverse software engineering scenarios. - Review task structure, expected outputs, edge cases, and implementation quality standards. - Open-Source Engineering Review - Apply open-source engineering experience to assess code quality, maintainability, architecture, performance, and scalability. - Review software contributions, libraries, frameworks, and implementation patterns based on real-world development practices. - Evaluate whether proposed solutions align with established programming fundamentals and open-source project standards. - Identify areas where code, tests, documentation, or evaluation logic can be improved. - Software Architecture & Performance Assessment - Analyze system behaviour across real-world user scenarios and software workflows. - Evaluate architecture choices, code patterns, dependency usage, performance trade-offs, and scalability considerations. - Review technical outputs for correctness, efficiency, reliability, and long-term maintainability. - Provide structured feedback on strengths, weaknesses, and improvement areas in engineering deliverables. - Technical Communication & Collaboration - Communicate evaluation results clearly to technical project teams. - Document technical reasoning, review decisions, test case logic, and code assessment outcomes. - Collaborate within distributed, asynchronous teams using Git-based workflows and engineering review practices. - Contribute independent technical judgment while maintaining clear standards for quality and consistency. Qualifications - A strong GitHub or comparable public engineering presence with frequent, high-quality contributions to respected open-source projects within the last 12 months. - Expertise in one or more of the following languages: Python, Java, C, JavaScript, or TypeScript. - Deep familiarity with widely used libraries, frameworks, developer tools, and ecosystem standards in their language areas. - Excellent understanding of programming fundamentals, software architecture, performance tuning, scalable code patterns, and testing practices. - Experience using Git, CI/CD systems, code review workflows, and open-source governance practices. - Ability to independently identify contribution areas, execute technical improvements, and explain engineering decisions clearly. - Strong written communication skills and comfort working independently in a remote, project-based environment. Educational Background - A degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field is helpful. - Equivalent professional experience and a strong open-source contribution record are also highly relevant. - Demonstrated public software engineering work may be especially valuable for this opportunity. Nice to Have - Experience maintaining or contributing regularly to widely used open-source libraries, frameworks, tools, or developer platforms. - Familiarity with benchmarking, coding assessments, test harnesses, automated evaluation workflows, or technical review systems. - Experience with multiple programming languages across backend, frontend, systems, or tooling environments. - Background in distributed engineering teams, asynchronous collaboration, technical documentation, or community-driven software development. - Experience reviewing pull requests, triaging issues, writing tests, improving documentation, or participating in release workflows. Why This Opportunity - Flexible, remote consulting work aligned with your open-source engineering expertise. - Opportunity to contribute to high-impact software evaluation projects across multiple programming languages and engineering domains. - Suitable for experienced open-source contributors who enjoy code review, technical assessment, test case design, and practical engineering problem-solving. - Project-based work that can align with part-time availability and remote schedules. Contract Details - Independent contractor engagement. - Fully remote and flexible scheduling. - Part-time, project-based availability. - Expected commitment may vary depending on project scope and matching needs. - Compensation may reach up to $90/hour, depending on project scope, experience, and fit. - Payments are made weekly via Stripe or Wise based on services rendered. - Projects may be extended, shortened, adjusted, or concluded based on project needs and performance. - Candidates requiring H1-B or STEM OPT sponsorship support are not eligible at this time. - Work must not involve sharing confidential or proprietary information from any employer, client, or institution.

• Embed with high-complexity client accounts to design, build, and deploy AI systems • Run deep discovery to map actual workflows and identify friction • Build production-grade agentic systems, evaluation frameworks, and human-in-the-loop structures • Navigate complexity: legacy systems, compliance requirements • Build deployment playbooks • Partner with Solutions Engineering team to improve architectural standards • Travel to client sites as required