Remote | Cloud Infrastructure Evaluation Engineer -- Up to $90/hour
hace 3 días
New York
Job Description We are sharing a specialised part-time consulting opportunity for experienced DevOps, SRE, and cloud engineering professionals with strong backgrounds in infrastructure engineering, Kubernetes, CI/CD systems, observability, automation tooling, and AI coding agent workflows. This role supports current and upcoming remote consulting opportunities focused on evaluating complex infrastructure engineering tasks, reviewing coding-agent-generated implementations, assessing reliability and cloud architecture decisions, and applying practical engineering judgment to realistic DevOps, SRE, and cloud scenarios. Selected professionals may work with modern coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable tools to complete, review, and evaluate technical infrastructure workflows. Key Responsibilities Professionals in this role may contribute to: Infrastructure Engineering Evaluation • Complete and evaluate complex infrastructure engineering tasks using modern coding agent tools, • Review technical implementations involving cloud platforms, Kubernetes, CI/CD systems, infrastructure automation, and observability tooling, • Assess whether proposed solutions reflect realistic DevOps, SRE, and cloud engineering practices, • Apply professional engineering judgment to identify quality gaps, reliability concerns, and improvement areas Cloud, Kubernetes & CI/CD Review • Evaluate implementations involving AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, and related infrastructure tooling, • Review cloud architecture decisions for scalability, maintainability, reliability, security awareness, and production-readiness, • Identify bugs, edge cases, misconfigurations, failure modes, and weak assumptions in infrastructure-related deliverables, • Provide structured feedback on deployment workflows, service reliability, monitoring coverage, and automation quality Coding Agent Output Assessment • Review coding-agent-generated infrastructure and reliability engineering solutions, • Compare outputs from multiple coding agents and assess strengths, weaknesses, accuracy, and practical usefulness, • Identify where generated solutions succeed, where they fail, and where human engineering judgment is required, • Document technical findings clearly for project teams and quality review workflows Technical Documentation & Scenario Feedback • Produce clear, structured evaluations of infrastructure engineering tasks and model-generated outputs, • Explain reasoning around cloud architecture, reliability engineering, CI/CD workflows, observability, and automation choices, • Support technical assessment workflows by documenting accepted work, improvement areas, and practical engineering conclusions, • Help ensure outputs reflect real-world infrastructure engineering standards and production-scale expectations Ideal Profile Strong candidates may have: • 2+ years of professional experience in DevOps, Site Reliability Engineering, Cloud Engineering, Infrastructure Engineering, or related technical roles, • Hands-on experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, observability tools, or infrastructure automation, • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools, • Ability to evaluate coding-agent-generated infrastructure solutions for correctness, reliability, maintainability, and production fit, • Experience supporting production-scale systems is strongly preferred, • Strong ability to identify bugs, edge cases, reliability issues, and failure modes, • Clear written communication skills and comfort documenting technical reasoning in a remote, project-based environment Educational Background • A degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Cloud Computing, Cybersecurity, or a related technical field is helpful, • Equivalent professional experience in DevOps, SRE, cloud infrastructure, platform engineering, or production systems is also highly relevant Nice to Have • Experience with Terraform, Helm, GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD, Prometheus, Grafana, Datadog, ELK, or comparable infrastructure tools, • Background in production incident response, reliability engineering, distributed systems, cloud security, or platform engineering, • Experience evaluating technical outputs, reviewing infrastructure code, or comparing implementation approaches, • Familiarity with multi-cloud environments, microservices architecture, container networking, service deployment, or observability design, • Strong comfort working in fast-moving sprint-based project environments Why This Opportunity • Flexible, remote consulting work aligned with your DevOps, SRE, cloud infrastructure, and coding agent expertise, • Opportunity to evaluate realistic infrastructure engineering workflows involving cloud systems, Kubernetes, CI/CD, observability, and automation, • Suitable for engineers who enjoy practical technical assessment, tool-assisted coding workflows, and reliability-focused problem-solving, • Sprint-based project work that can align with part-time 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, • Eligible locations include Albania, Australia, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Canada, Costa Rica, Croatia, Czech Republic, Denmark, El Salvador, Estonia, Finland, France, Germany, Greece, Guatemala, Hungary, Iceland, Ireland, Italy, Kosovo, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Mexico, Moldova, Monaco, Netherlands, North Macedonia, Norway, Panama, Poland, Portugal, Romania, San Marino, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, the United Kingdom, and the United States, • 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.