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Tech Holding

Tech Holding - Full Stack Engineer (Contract) - Remote

Mexico4d ago
In OfficeMidLATAMCloud ComputingArtificial IntelligenceFull Stack EngineerFull StackNode.jsReactNext.jsClient ConsultingTypeScriptAzurePostgreSQLRESTGraphQLSlackAzure Service BusKubernetesBicepTerraformPulumiCosmosDocumentationFront-endMentoring

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Requirements

• 4+ years of professional full-stack experience with Node.js and React (or Next.js) • Strong TypeScript fluency you reach for it by default • Hands-on experience with Microsoft Azure (Functions, App Service, Blob Storage, DevOps, or similar) • Solid relational database skills: schema design, query optimization, indexing (PostgreSQL preferred) • Experience designing clean REST or GraphQL APIs and knowing when to choose each • Demonstrated, active use of AI tools in your engineering workflow you can speak concretely about how and where they help • Familiarity with auth patterns: JWT, OAuth 2.0, session handling • Experience with CI/CD pipelines (GitHub Actions, Azure DevOps, or similar) • Excellent async written communication in English you can explain a technical decision clearly in a Slack thread or a doc • Experience building with Azure OpenAI Service, Azure AI Search, or Cognitive Services • Next.js, React Server Components, or micro-frontend experience • Familiarity with LangChain, Semantic Kernel, or prompt engineering patterns • Message queue experience: Azure Service Bus, RabbitMQ, or SQS • Kubernetes or infrastructure-as-code (Terraform, Bicep, Pulumi) • Prior consulting or client-facing engineering experience • Employment Type: • Employment Type:

Responsibilities

• Own full-stack feature delivery  from schema design and API implementation through React UI and deployment • Design and build scalable RESTful and GraphQL APIs, with a focus on clarity, performance, and developer ergonomics • Architect and integrate Azure-hosted services including Azure Functions, Cosmos DB, Azure AI, and Azure DevOps pipelines • Embed AI capabilities into products wrapping LLM APIs, building prompt pipelines, and integrating Azure OpenAI or Cognitive Services into features • Use AI tools actively in your daily workflow: generation, debugging, test coverage, and documentation  not as a crutch but as a force multiplier • Participate in code reviews, architecture discussions, and technical planning with engineering teams and client stakeholders • Instrument, monitor, and optimize performance across the stack  from slow queries to front-end bundle bloat • Contribute to raising the engineering bar: documentation, tooling, shared patterns, and mentoring less senior teammates

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