
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 reviews.
• Develop client portals, internal dashboards, admin interfaces, and monitoring tools.
• Evaluate AI-generated and prototype codebases, determining what to preserve or reconstruct for production readiness.
• Integrate AI models and services, including features that operate in real-time.
• Oversee infrastructure as code and continuous integration/continuous deployment (CI/CD) across development, staging, and production environments.
• Create integrations with customer relationship management (CRM) systems, ticketing tools, and other external platforms.
• Establish logging, metrics, tracing, and alerting systems, while participating in an on-call rotation.
• Implement secure authentication, multi-tenant isolation, management of sensitive secrets, and safe handling of personal information.
• Ensure comprehensive technical documentation is maintained.
• Collaborate with AI/ML engineers, product and project managers, customer experience designers, and operations teams.
• Develop secure, reliable, scalable, and observable systems.
• 3–5 years of experience in building and operating production web applications, both backend and frontend.
• Minimum 2 years of experience in developing and managing applications on Microsoft Azure.
• Proficient in TypeScript, Node.js, and React.
• Basic 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 message queues.
• Knowledge of real-time or event-driven systems, including WebSockets, streaming, and message queuing.
• Experience with integrating third-party APIs, including those from large language model (LLM) providers.
• Familiarity with CI/CD processes using GitHub Actions or Azure DevOps.
• Knowledge of Docker and infrastructure-as-code tools such as Bicep or Terraform.
• Strong practices in testing, monitoring, debugging, and code review.
• Proven ability to transform prototypes or AI-generated code into stable production applications by addressing security vulnerabilities, inadequate error handling, and absent tests.
• Familiarity with AI coding tools like GitHub Copilot, Cursor, or Claude Code, with the capability to review, validate, and amend their outputs.
• Proficient in written and spoken English and Spanish.
• Residing in Colombia or Mexico, with the legal right to work in that country.
• All candidates must complete every stage of the hiring process.
• All resumes should be submitted in English.
• Excellent written and verbal communication skills in English.
• Flexible remote work options.
• Opportunity to collaborate with AI/ML engineers, project managers, customer experience designers, and BPO operations teams.
• Azure certifications are considered a valuable professional development opportunity.
• Work in an English-speaking, cross-functional environment.
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