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

24-Mag•New York, NY

2d•$90•Remote

About The Position

We are sharing a specialised remote consulting opportunity for experienced backend engineers with strong coding agent experience, practical software engineering judgment, and the ability to evaluate complex backend implementations across real-world engineering scenarios. This role supports current and upcoming remote consulting opportunities focused on backend code evaluation, coding-agent-assisted engineering workflows, technical assessment, software quality review, and realistic backend system analysis. Selected professionals may use tools such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable coding agents to complete, review, and evaluate backend engineering tasks involving APIs, distributed systems, microservices, backend platforms, and databases.

Requirements

2+ years of professional backend engineering experience
Hands-on experience building APIs, distributed systems, microservices, backend platforms, or database-backed applications
Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools
Ability to evaluate generated code and identify bugs, edge cases, architectural trade-offs, and performance issues
Strong understanding of backend architecture, service design, database interaction, testing, reliability, and maintainability
Clear written communication skills and comfort documenting technical reasoning in a remote, project-based environment

Nice To Haves

Experience with Node.js, Python, Java, Go, TypeScript, C#, Ruby, or comparable backend languages
Familiarity with frameworks and tools such as Django, FastAPI, Spring, Express, NestJS, PostgreSQL, MySQL, MongoDB, Redis, Kafka, or comparable technologies
Experience with cloud platforms, CI/CD pipelines, Docker, Kubernetes, observability tooling, or deployment workflows
Background in technical code review, systems design interviews, software architecture review, or backend performance evaluation
Strong comfort working in sprint-based project environments with focused technical assessment windows
Experience working on large-scale production systems is strongly preferred
A degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field is helpful
Equivalent professional experience in backend engineering, distributed systems, software architecture, or production software development is also highly relevant

Responsibilities

Backend Code Evaluation: Use modern coding agents to complete and evaluate complex backend engineering tasks. Review generated backend code for correctness, quality, maintainability, performance, and production-readiness. Identify bugs, edge cases, architectural weaknesses, failure modes, and unclear assumptions in technical outputs. Apply professional backend engineering judgment to realistic software engineering scenarios.
API, Microservices & System Design Review: Evaluate backend implementations involving APIs, microservices, distributed systems, backend platforms, and database-backed applications. Review service boundaries, data flow, authentication logic, error handling, performance considerations, and integration patterns. Assess architectural trade-offs related to scalability, reliability, maintainability, and long-term system design. Provide structured feedback on backend design decisions and implementation quality.
Coding Agent Output Assessment: Compare outputs from multiple coding agents and assess their strengths, weaknesses, accuracy, and practical usefulness. Identify where generated solutions succeed, where they fail, and where additional engineering judgment is required. Evaluate whether model-generated code reflects real-world backend engineering standards. Document review findings clearly for project teams and quality evaluation workflows.
Technical Documentation & Feedback: Produce clear, structured evaluations of backend engineering tasks and generated outputs. Explain reasoning around code quality, system design, performance, maintainability, and architectural trade-offs. Support technical assessment workflows by documenting accepted work, improvement areas, and practical engineering conclusions. Help ensure outputs reflect production-scale backend engineering expectations.

Benefits

Remote consulting work aligned with backend engineering, coding agent, and software evaluation expertise
Opportunity to evaluate realistic backend engineering workflows involving APIs, distributed systems, microservices, databases, and production-scale architecture
Suitable for engineers who enjoy technical assessment, tool-assisted coding workflows, code review, and practical backend problem-solving
Sprint-based project work that can align with focused availability and remote schedules
Independent contractor engagement
Fully remote and flexible scheduling
Sprint-based, project-based availability
Full-time or high-availability project participation may be requested depending on project scope
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