• Architect, deploy, and lifecycle-manage our enterprise Hyper-V virtualization environments while seamlessly extending Azure management and services to them via Azure Arc. • Implement and enforce Azure Policy, Microsoft Defender for Cloud, and centralized RBAC across all Arc-enabled servers and Hyper-V clusters. • Engineer highly available Hyper-V failover clusters, optimizing storage (e.g., S2D, CSVs) and software-defined networking for peak performance. • Leverage Infrastructure as Code (IaC) and automation tools (PowerShell, ARM templates, Bicep) to streamline the provisioning of on-premises VMs and their onboarding into Azure Arc. • Design and maintain unified monitoring strategies using Azure Monitor and Log Analytics to ensure comprehensive visibility across the entire hybrid boundary.

• Must be capable of performing analysis of system operations • Must be capable of system decomposition via OMG frameworks (UML, DoDAF 2.0/UPDM, SysML, UAF) • Must be able to model systems via different perspectives (e.g. capability, operational, system, functional) and at various levels of abstraction • Must be familiar with UML modeling tools (Cameo Enterprise Architect preferred) • Must be able to meet with stakeholders in a variety of system domains and analyze requirement, process, system, and/or capability • Must be capable of extending UML-based models to other tools or modeling environments via existing frameworks/API’s • Must be familiar with executable models (fUML specification preferred) • Must have the ability to generate/produce data and reports • Interact and professionally exhibit customer service skills and be able to present a positive approach with customers and peers • Other duties and responsibilities as required and assigned

• 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