[Remote] Remote | Cloud Infrastructure Evaluation Engineer — Up to $90/hour

Note: The job is a remote job and is open to candidates in USA. 24-MAG is offering a specialized part-time consulting opportunity for experienced professionals in DevOps, SRE, and cloud engineering. The role involves evaluating complex infrastructure engineering tasks, reviewing coding-agent-generated implementations, and applying engineering judgment in cloud architecture decisions.ResponsibilitiesComplete and evaluate complex infrastructure engineering tasks using modern coding agent toolsReview technical implementations involving cloud platforms, Kubernetes, CI/CD systems, infrastructure automation, and observability toolingAssess whether proposed solutions reflect realistic DevOps, SRE, and cloud engineering practicesApply professional engineering judgment to identify quality gaps, reliability concerns, and improvement areasEvaluate implementations involving AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, and related infrastructure toolingReview cloud architecture decisions for scalability, maintainability, reliability, security awareness, and production-readinessIdentify bugs, edge cases, misconfigurations, failure modes, and weak assumptions in infrastructure-related deliverablesProvide structured feedback on deployment workflows, service reliability, monitoring coverage, and automation qualityReview coding-agent-generated infrastructure and reliability engineering solutionsCompare outputs from multiple coding agents and assess strengths, weaknesses, accuracy, and practical usefulnessIdentify where generated solutions succeed, where they fail, and where human engineering judgment is requiredDocument technical findings clearly for project teams and quality review workflowsProduce clear, structured evaluations of infrastructure engineering tasks and model-generated outputsExplain reasoning around cloud architecture, reliability engineering, CI/CD workflows, observability, and automation choicesSupport technical assessment workflows by documenting accepted work, improvement areas, and practical engineering conclusionsHelp ensure outputs reflect real-world infrastructure engineering standards and production-scale expectationsSkills2+ years of professional experience in DevOps, Site Reliability Engineering, Cloud Engineering, Infrastructure Engineering, or related technical rolesHands-on experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, observability tools, or infrastructure automationRegular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar toolsAbility to evaluate coding-agent-generated infrastructure solutions for correctness, reliability, maintainability, and production fitStrong ability to identify bugs, edge cases, reliability issues, and failure modesClear written communication skills and comfort documenting technical reasoning in a remote, project-based environmentA degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Cloud Computing, Cybersecurity, or a related technical field is helpfulEquivalent professional experience in DevOps, SRE, cloud infrastructure, platform engineering, or production systems is also highly relevantExperience supporting production-scale systems is strongly preferredExperience with Terraform, Helm, GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD, Prometheus, Grafana, Datadog, ELK, or comparable infrastructure toolsBackground in production incident response, reliability engineering, distributed systems, cloud security, or platform engineeringExperience evaluating technical outputs, reviewing infrastructure code, or comparing implementation approachesFamiliarity with multi-cloud environments, microservices architecture, container networking, service deployment, or observability designStrong comfort working in fast-moving sprint-based project environmentsBenefitsFlexible, remote consulting work aligned with your DevOps, SRE, cloud infrastructure, and coding agent expertiseSprint-based project work that can align with part-time availability and remote schedulesPayments are made weekly via Stripe or Wise based on services renderedIndependent contractor engagementFully remote and flexible schedulingCompany OverviewAt 24-MAG, we support emerging AI and consulting platforms by sourcing and connecting qualified professionals with remote, contract-based opportunities. It was founded in undefined, and is headquartered in Sheridan, Wyoming, US, with a workforce of 2-10 employees. Its website is https://24-mag.com/.