
Full-Stack Engineer, Mid-Level
Posted Oct 22

Posted Oct 22
This is a fully remote position, open to applicants in Mexico, +1 more country.
• Design, develop, and operate production applications on Microsoft Azure.
• Create backend APIs and services with well-defined boundaries, automated testing, and code review processes.
• Develop client portals, internal consoles, administrative interfaces, and dashboards.
• Evaluate prototypes and AI-generated codebases to determine what to retain or rebuild, ensuring they are ready for real users.
• Integrate AI models and services, including features that operate in real-time.
• Oversee infrastructure as code and CI/CD practices across development, staging, and production environments.
• Construct integrations with CRMs, ticketing systems, and various third-party platforms.
• Implement logging, metrics, tracing, and alerts, and take part in an on-call rotation.
• Establish authentication, multi-tenant isolation, secure secrets management, and proper handling of personal information.
• Ensure the maintenance of comprehensive technical documentation.
• Collaborate with AI/ML engineers, project and product managers, CX designers, and BPO operations teams.
• 3–5 years of experience in developing and managing production web applications, both backend and frontend.
• Minimum of 2 years of experience in building and operating applications on Microsoft Azure.
• Proficient in TypeScript, Node.js, and React, with practical knowledge of Python for AI/ML services.
• Experience in designing and integrating REST or GraphQL APIs.
• Familiarity with relational and NoSQL databases, caching mechanisms, and queues.
• Knowledge of real-time or event-driven systems, including WebSockets, streaming, and messaging queues.
• Experience with integrating third-party APIs, including those from LLM providers.
• Proficient in CI/CD practices using GitHub Actions or Azure DevOps.
• Familiarity with Docker and infrastructure-as-code tools like Bicep or Terraform.
• Strong skills in testing, monitoring, debugging, and code review methodologies.
• Proven track record of transforming prototypes or AI-generated code into stable production applications by addressing security vulnerabilities, improving error handling, and ensuring comprehensive testing.
• Knowledge of AI coding tools such as GitHub Copilot, Cursor, or Claude Code, with the ability to review, validate, and improve their outputs.
• Proficient in both written and spoken English and Spanish.
• Residing in Colombia or Mexico, with the legal right to work in that country.
• Competitive salary and performance-based bonuses.
• Opportunities for professional development and career advancement.
• Flexible working hours and a supportive work environment.
• Access to cutting-edge technologies and tools.
• Health and wellness benefits.
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