Remote | Cloud Infrastructure Evaluation Engineer — Up to $90/hour
24-Mag•New York, NY
•$90 - $90•Remote
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
- 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
- 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
- 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
Benefits
- Flexible, remote consulting work
- Opportunity to evaluate realistic infrastructure engineering workflows
- 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
- 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
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What This Job Offers
Job Type
Part-time
Career Level
Mid Level
Education Level
Associate degree
