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.

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

Skills

• 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
• 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
• 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
• Experience supporting production-scale systems is strongly preferred
• 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

Benefits

• Flexible, remote consulting work aligned with your DevOps, SRE, cloud infrastructure, and coding agent expertise
• Sprint-based project work that can align with part-time availability and remote schedules
• Payments are made weekly via Stripe or Wise based on services rendered
• Independent contractor engagement
• Fully remote and flexible scheduling

Company Overview