[Remote] Remote | Backend Code Evaluation Engineer — Up to $90/hour

Note: The job is a remote job and is open to candidates in USA. 24-MAG LLC is offering a remote consulting opportunity for experienced backend engineers with a focus on backend code evaluation and assessment. The role involves using modern coding agents to evaluate and review complex backend engineering tasks, ensuring the quality and performance of backend implementations.ResponsibilitiesUse modern coding agents to complete and evaluate complex backend engineering tasksReview generated backend code for correctness, quality, maintainability, performance, and production-readinessIdentify bugs, edge cases, architectural weaknesses, failure modes, and unclear assumptions in technical outputsApply professional backend engineering judgment to realistic software engineering scenariosEvaluate backend implementations involving APIs, microservices, distributed systems, backend platforms, and database-backed applicationsReview service boundaries, data flow, authentication logic, error handling, performance considerations, and integration patternsAssess architectural trade-offs related to scalability, reliability, maintainability, and long-term system designProvide structured feedback on backend design decisions and implementation qualityCompare outputs from multiple coding agents and assess their strengths, weaknesses, accuracy, and practical usefulnessIdentify where generated solutions succeed, where they fail, and where additional engineering judgment is requiredEvaluate whether model-generated code reflects real-world backend engineering standardsDocument review findings clearly for project teams and quality evaluation workflowsProduce clear, structured evaluations of backend engineering tasks and generated outputsExplain reasoning around code quality, system design, performance, maintainability, and architectural trade-offsSupport technical assessment workflows by documenting accepted work, improvement areas, and practical engineering conclusionsHelp ensure outputs reflect production-scale backend engineering expectationsSkills2+ years of professional backend engineering experienceHands-on experience building APIs, distributed systems, microservices, backend platforms, or database-backed applicationsRegular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar toolsAbility to evaluate generated code and identify bugs, edge cases, architectural trade-offs, and performance issuesStrong understanding of backend architecture, service design, database interaction, testing, reliability, and maintainabilityClear written communication skills and comfort documenting technical reasoning in a remote, project-based environmentA degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field is helpfulEquivalent professional experience in backend engineering, distributed systems, software architecture, or production software development is also highly relevantExperience working on large-scale production systems is strongly preferredExperience with Node.js, Python, Java, Go, TypeScript, C#, Ruby, or comparable backend languagesFamiliarity with frameworks and tools such as Django, FastAPI, Spring, Express, NestJS, PostgreSQL, MySQL, MongoDB, Redis, Kafka, or comparable technologiesExperience with cloud platforms, CI/CD pipelines, Docker, Kubernetes, observability tooling, or deployment workflowsBackground in technical code review, systems design interviews, software architecture review, or backend performance evaluationStrong comfort working in sprint-based project environments with focused technical assessment windowsBenefitsIndependent contractor engagementFully remote and flexible schedulingSprint-based, project-based availabilityFull-time or high-availability project participation may be requested depending on project scopeSome project work may run in focused 12–24 hour sprint windows depending on project requirementsSome projects may use accepted-task compensation depending on the specific workflowPayments are made weekly via Stripe or Wise based on services renderedProjects may be extended, shortened, adjusted, or concluded based on project needs and performanceWork must not involve sharing confidential or proprietary information from any employer, client, or institutionCompany 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/.