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Senior Full Stack Developer (MER...

Si-Vision
Cairo, Egypt

Senior Full Stack Developer (MERN or Laravel Stack)

Cairo, EgyptPosted 16 days ago
41Applicants for1 open position
  • 36Viewed
  • 2In Consideration
  • 32Not Selected

Job Details

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Job Description

We're on the hunt for a talented Senior Full Stack Developer to spearhead the development of our cutting-edge EdTech Platform. If you have extensive experience with the MERN (MongoDB, Express.js, React.js, Node.js) or Laravel stack and a proven track record in building robust, scalable web applications, we want to hear from you! ???? Experience in Machine Learning Operations (ML Ops) and generative AI is a huge plus! ????

Responsibilities: 

  • Design, develop, and maintain full-stack web applications using the MERN or Laravel stack.
  • Collaborate closely with cross-functional teams to implement user-friendly interfaces and scalable backend solutions.
  • Optimize application performance to ensure seamless user experiences across various devices and browsers.
  • Stay updated on emerging technologies and best practices in full-stack development, ML Ops, and generative AI.
  • Provide technical leadership and mentorship to junior team members.
  • Contribute to architectural decisions and participate in code reviews to maintain code quality and reliability.

Job Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 4+ years of experience in full-stack development using the MERN or Laravel stack.
  •  Proficiency in front-end technologies like HTML5, CSS3, JavaScript (ES6+), and frontend frameworks/libraries (e.g., React.js, Angular, Vue.js).
  •  Strong understanding of backend development concepts, including RESTful API design, database management, and server-side languages (e.g., Node.js, PHP).
  •  Experience with version control systems (e.g., Git) and agile development methodologies.
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and collaboration skills.
    Preferred Qualification: 
  •  Familiarity with Machine Learning Operations (ML Ops) and deploying ML models in production environments.
  •  Knowledge of generative AI techniques and frameworks.
    Experience working with cloud computing platforms (e.g., AWS, Azure, GCP).
  • Previous experience in a fast-paced startup environment.

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