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Invirial
Scraped fromDjinniYesterday
Fullstack

Full-stack Engineer

Node.jsPythonNestJSExpress.jsFastifyFastAPIDjangoFlaskSQLPostgreSQLMySQLPrismaTypeORMSQLAlchemyDjango ORMRedisMongoDBRabbitMQKafkaAmazon SQSReactTypeScriptNext.jsViteReact QueryREST APIGraphQLDockerCI/CDGitAWSGCPAzureGitHub CopilotChatGPT/CodexCursorAnthropicJetBrains AI
Work Type
Remote
Job Type
-
Location
Worldwide
Salary
Not specified

About the Position

Invirial is seeking a Full-Stack Engineer for a project-based role to build production-ready web applications with AI tooling. The role requires strong ownership, adaptability, and experience with modern web technologies.

Responsibilities

  • Architect, build, and maintain scalable, secure server-side applications, APIs, database schemas, and background services.
  • Implement complete, end-to-end functionality from backend logic and database models through to responsive React/TypeScript interfaces.
  • Utilize modern AI development tools to boost delivery velocity, while rigorously reviewing, debugging, and refining all code to ensure production quality.
  • Take deep personal ownership of code quality, performance optimization, security, and deployment pipelines.

Requirements

  • Spoken Upper-Intermediate English level or higher.
  • Relevant experience in Fullstack Engineer positions for at least 7+ years.
  • Backend Mastery: strong experience with Node.js or Python, including frameworks such as NestJS, Express.js, Fastify, FastAPI, Django, or Flask.
  • Database & Data Architecture: solid SQL knowledge with relational databases (PostgreSQL, MySQL) and ORMs (Prisma, TypeORM, SQLAlchemy, Django ORM). Experience with NoSQL/caching solutions (Redis, MongoDB) and message queues (RabbitMQ, Kafka, AWS SQS) is highly desirable.
  • Frontend Capabilities: proven experience with React, TypeScript, and modern ecosystems (Next.js, Vite, TanStack Query, state management, form validation).
  • API & System Design: deep understanding of RESTful API design, server-side data flows, authentication patterns, and asynchronous processing (GraphQL is a plus).
  • DevOps & Infrastructure: hands-on experience with Docker, CI/CD pipelines, Git workflows, and cloud environments (AWS, GCP, or Azure).
  • Practical experience using tools like GitHub Copilot, ChatGPT/Codex, Cursor, Claude Code, or JetBrains AI.
  • Ability to review, test, and safely use AI-generated code.

Who to contact

Full-stack Engineer
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