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Senior Full Stack Engineer

Posted 4 days agoViewed

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💎 Seniority level: Senior, 5+ years

💸 Salary: 140000.0 - 200000.0 USD per year

🔍 Industry: Software Development

🏢 Company: Sadaora

🗣️ Languages: English

⏳ Experience: 5+ years

Requirements:
  • 5+ years of Full Stack Development experience, with expertise in React.js, Node.js, and Python.
  • Experience working with AI/ML models and integrating them into applications.
  • Proficiency in AWS, Cloudflare, and DevOps best practices.
  • Strong understanding of database management (SQL & NoSQL).
  • Experience with CI/CD pipelines and cloud deployment strategies.
Responsibilities:
  • Design, develop, and maintain scalable and high-performance web applications using React.js, HTML5, CSS3, JavaScript (Frontend) and Node.js (Backend).
  • Architect a robust, modular, and reusable codebase, ensuring efficiency and maintainability.
  • Implement and optimize database structures (SQL/NoSQL) for seamless data flow and retrieval.
  • Develop and integrate AI/ML capabilities using Python for predictive analytics, recommendation engines, and personalized user experiences.
  • Ensure API development follows RESTful and GraphQL best practices for seamless third-party integrations.
  • Lead and mentor a team of 2-3 Full Stack Engineers and collaborate with a UI/UX Designer.
  • Conduct code reviews, provide constructive feedback, and enforce coding best practices.
  • Work closely with the Community Manager to align technical features with user engagement strategies.
  • Partner with product managers to translate business requirements into technical solutions.
  • Oversee and optimize cloud infrastructure on AWS & Cloudflare for scalability and security.
  • Implement CI/CD pipelines for automated testing and deployment.
  • Monitor system performance, troubleshoot issues, and ensure high availability and security.
  • Collaborate with data scientists to integrate AI/ML models into the application.
  • Optimize ML workflows and API calls for real-time user interactions.
  • Ensure ethical AI practices, data privacy, and model transparency.
  • Enforce best practices for authentication, authorization, and data encryption.
  • Ensure compliance with GDPR, CCPA, and other relevant regulations.
  • Identify vulnerabilities and implement solutions to enhance security.
  • Research emerging technologies and frameworks to enhance application performance.
  • Participate in strategic discussions about product roadmap and feature prioritization.
  • Drive continuous improvement through A/B testing and user feedback analysis.
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