Note: The job is a remote job and is open to candidates in USA. 24-MAG is seeking experienced DevOps, Site Reliability, and Cloud Engineering professionals for a part-time consulting opportunity. The role involves evaluating infrastructure engineering tasks completed with AI coding agents, assessing implementations, and providing technical judgment on model-generated solutions.
Responsibilities
- Review complex infrastructure engineering tasks completed with frontier AI coding agents
- Evaluate implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation
- Assess technical correctness, reliability, maintainability, and operational readiness
- Apply professional engineering judgment to realistic production infrastructure scenarios
- Use frontier AI coding agents within practical infrastructure engineering workflows
- Evaluate how effectively coding models interpret requirements and implement solutions
- Identify bugs, edge cases, reliability issues, configuration errors, and failure modes
- Assess where models require correction, additional prompting, or manual engineering intervention
- Evaluate solutions involving AWS, Azure, GCP, or comparable cloud environments
- Review Kubernetes configurations, deployment workflows, and infrastructure orchestration
- Assess Terraform or similar infrastructure-as-code implementations
- Review CI/CD pipelines, monitoring, logging, alerting, and observability approaches
- Identify security, scalability, resilience, and operational concerns where relevant
- Compare infrastructure solutions produced by multiple frontier coding models
- Assess differences in implementation strategy, technical reasoning, reliability, and code quality
- Determine which approaches best satisfy task requirements
- Document model strengths, weaknesses, and recurring engineering failure patterns
- Provide clear written assessments explaining relevant technical trade-offs
Skills
- At least 2 years of professional DevOps, Site Reliability Engineering, or Cloud Engineering experience
- Hands-on experience supporting production-scale infrastructure or distributed systems
- Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling
- Regular use of AI coding agents within technical workflows
- Strong ability to evaluate model-generated infrastructure and reliability engineering solutions
- Experience diagnosing production issues, deployment failures, and infrastructure problems
- Strong technical judgment, debugging skills, and written communication
- Ability to work efficiently within short, intensive project sprints
- Experience with AWS, Azure, or Google Cloud Platform
- Strong Kubernetes and container orchestration experience
- Expertise with Terraform or comparable infrastructure-as-code tooling
- Background designing or maintaining CI/CD pipelines
- Familiarity with observability platforms, monitoring, logging, and incident response
- Experience with Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable AI coding tools
- Knowledge of production reliability, scalability, disaster recovery, and performance engineering
- Previous exposure to AI evaluation, benchmark development, or structured technical review
Benefits
- Fully remote with flexible scheduling
- Independent contractor role
- Sprint-based project with task windows typically spanning approximately 12–24 hours
- Weekly payments via Stripe or Wise
Company Overview