Full Stack Developer

Ghobash GroupCairoJob.bopublished 06/17/2025
Must-have:TypeScriptJavaScriptPythonJavaHTMLCSSReactAngularVueNode.jsGraphQLGitAWSAzureGoogle CloudDockerKubernetesCloudFrontendBackendFullstackDevOpsAgileCI/CDMicroservicesAISecurity

About the company

Code 81 is established in 2023, CODE81 operates autonomously from within the Technology Cluster of Ghobash Group as a highly agile services driven organization, committed to enabling future thinkers.

Your tasks

AI/ML Integration

  • Collaborate with AI/ML teams to understand and integrate models into live applications.
  • Deploy models using APIs, TensorFlow.js, ONNX, or direct embedding techniques.
  • Maintain model versioning, performance monitoring, and retraining pipelines (MLOps best practices).

Backend Development

  • Develop robust APIs and backend logic using frameworks like Node.js, Django, or Flask.
  • Design scalable architectures for handling AI model inputs/outputs and data flow.
  • Integrate databases (PostgreSQL, MongoDB, Redis) for data persistence and caching.

Frontend Development

  • Build dynamic, intuitive UIs using React, Angular, or Vue.js.
  • Visualize AI model outputs clearly for end-users (dashboards, predictive indicators, etc.).
  • Ensure UI responsiveness, accessibility, and performance across devices.

Infrastructure & DevOps

  • Containerize applications using Docker and orchestrate via Kubernetes.
  • Manage deployments on cloud platforms like AWS, Azure, or GCP.
  • Implement CI/CD pipelines and monitor system health in production environments.

Requirements

  • 2–4 years of professional experience in full-stack software development.
  • Strong programming skills in JavaScript/TypeScript (React, Node.js) and Python (Django, Flask).
  • Experience integrating AI/ML models via APIs or frontend embedding (e.g., TensorFlow.js).
  • Solid understanding of RESTful or GraphQL APIs and microservices architecture.
  • Familiarity with Git, Agile development, and continuous integration practices.

Preferred

  • Hands-on experience with Generative AI, LLMs, or platforms like Hugging Face, OpenAI, or LangChain.
  • Exposure to MLOps tools like MLflow, SageMaker, Kubeflow, or Vertex AI.
  • Working knowledge of secure coding practices and AI ethics (e.g., data privacy, model fairness).
  • Experience with real-time systems and streaming data (Kafka, WebSockets).

Other

Additional Information Languages/Technologies:

  • Java/J2EE
  • ReactJS
  • JQuery
  • JSON
  • HTML
  • JavaScript
  • CSS
  • PLSQL

Additional:

  • Angular 7
  • VueJS
  • AngularJS

Frameworks:

  • Spring Boot
  • Spring 4(MVC, ORM, AOP, SECURITY, Batch)
  • Struts 2
  • Hibernate 3+

Database:

  • Oracle 19c

Web Services:

  • RESTful Web Services (JAX-RS)
  • SOAP
  • JSON

Build Tool:

  • Maven

Version Control :

  • Bit Bucket

Development Tools:

  • Eclipse STS
  • Jira
  • Tibco Jasper Report

Application Server:

  • WebLogic Application server
  • Apache Tomcat

Testing:

  • Junit