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Enumerate

Full Stack Developer

AI Summary
Enumerate is seeking a Full Stack Engineer contractor in LATAM to develop user-facing product features across frontend and backend systems. The role covers API and service development, data and third-party AI integrations, responsive accessible UI implementation, and production troubleshooting. Candidates need at least four years of full-stack web application experience, modern frontend framework expertise, backend programming skills, and REST or GraphQL knowledge. The engineer will work in a fast-moving, product-driven environment with experimentation, feature flags, automated testing, monitoring, and code reviews. Strong written and spoken English communication is required for collaboration in an English-speaking professional environment.
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Remote from
LATAM
Salary
USD 3,200–3,700 / mo
Department
Software Engineering
Employment
Contract
Experience
Open level
Published
Apply before
4 Dec 2026
Listing views
30
Application actions
3
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Opportunity details

About this role.

Enumerate is hiring a Full Stack Engineer to join our team! This is a highly hands-on role for engineers who thrive in product-driven environments, move quickly, and are comfortable working alongside APIs, and data-rich systems. This is a remote opportunity. We are seeking contractors located in LATAM who are comfortable working in an English-speaking professional environment.

Key Responsibilities

End-to-End Feature Development

  • Design and implement user-facing features across frontend and backend systems
  • Build and evolve APIs and services that integrate data pipelines and product workflows
  • Translate product requirements and UX designs into high-quality, maintainable code
  • Rapidly prototype and iterate based on user feedback and experimentation results

Frontend & UX Integration

  • Implement intuitive user interfaces
  • Handle edge cases, fallbacks, and user feedback
  • Ensure UI performance, accessibility, and responsiveness.

Backend & Integration

  • Develop backend services that orchestrate business logic, and data access.
  • Integrate with internal APIs, data services, and third-party AI platforms.
  • Implement secure, scalable request handling, including latency and cost considerations
  • Support feature flags, configuration, and experimentation frameworks.

Quality, Reliability & Observability

  • Write automated tests across frontend and backend components.
  • Implement logging, monitoring, and basic performance tracking
  • Participate in code reviews and adhere to team engineering standards
  • Help diagnose and resolve production issues

Required Qualifications

  • BS or equivalent experience in Computer Science, Engineering, or related field.
  • 4+ years of experience building full stack web applications.
  • Proficiency in modern frontend frameworks (e.g., React, Vue, or similar).
  • Strong backend experience with at least one language such as Python, Node.js, Java, or Go.
  • Experience building and consuming REST or GraphQL APIs.
  • Familiarity with cloud environments (AWS, GCP, or Azure).

Preferred Qualifications

  • Experience working with experimentation platforms, feature flags, or A/B testing.
  • Exposure to data pipelines or analytics tooling.
  • Comfort working in fast-moving, iterative product teams.

Total monthly compensation:

$3,200—$3,700 USD

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightРоль требует уверенной самостоятельной разработки полного цикла: от UX и интерфейсов до API, интеграций, качества и production-поддержки. Высокий темп итераций, работа с AI-платформами и требования к масштабируемости повышают сложность.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per month)Market rate
$3,450
US market range (per month)$3k–$5k
AI insightThe monthly pay period is inferred from the job context; it was not explicitly stated by the employer. Работодатель прямо указывает общую ежемесячную компенсацию $3,200–$3,700 USD; медиана диапазона составляет $3,450 в месяц. Оценочный рыночный диапазон для full-stack contractor уровня 4+ лет в LATAM составляет $3,000–$5,000 USD в месяц и не является подтверждённым исследованием рынка.

Core skills

Skills and capabilities most closely associated with this opportunity.

Full-stack developmentReactVue.jsPythonNode.jsREST APIsGraphQLCloud computingAWSAPI integrationAutomated testingFeature flagsA/B testingObservabilityResponsive web design
Sample interview questions
Describe a full-stack feature you delivered from initial requirements through production release.

I would explain how I clarified the user problem, converted requirements into frontend and backend tasks, designed the API and data flow, implemented the interface, added automated tests and monitoring, and used production feedback to iterate.

How do you decide whether business logic belongs in the frontend, backend, or an API layer?

I keep security-sensitive rules, shared validations, data access, and durable workflows on the backend. The frontend should focus on presentation and responsive user interactions, while API contracts provide a stable boundary between clients and services.

How would you integrate a third-party AI platform while controlling latency, reliability, and cost?

I would define a narrow integration interface, enforce timeouts and retries, instrument latency and usage, cache safe repeatable results where appropriate, and use fallbacks or asynchronous workflows for non-critical requests. I would also track cost per request and apply rate limits or feature flags.

What practices do you use to maintain quality while working in a fast-moving product team?

I prioritize risk-based automated tests, small reviewable pull requests, clear acceptance criteria, feature flags, structured logging, and dashboards for important user and service metrics. These practices allow rapid releases while preserving rollback and diagnosis options.

How do you investigate a production issue affecting an API-backed user flow?

I first assess scope and user impact, then review monitoring data, error logs, recent deployments, and request traces. I mitigate the issue through rollback, a feature flag, or a targeted fix, communicate status clearly, and document the root cause and preventative follow-up work.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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