Lyrise

Lyrise was founded and inspired by the legacy of Al-Khwarizmi as he’s considered to be the father of algorithms and is widely regarded as the starting point of the field of computer science. His contributions to mathematics and computational thinking laid the foundation for the development of AI. LyRise is a platform for companies to work with AI talents faster through connecting them with Top AI experts from the MENA region. We provide for companies a tailored secure data infrastructure and efficient cloud compute resource. Our talents have a strong background and experience backed by companies like Google, IBM, Microsoft. We are the 1st AI talent marketplace to join the IBM Hyperprotect Accelerator, and Techstars powered by JP Morgan to expand to over 10,000 AI engineers & scientists from Africa. LyRise is backed by Techstars Atlanta powered by JP Morgan and Google for Startups and IBM Hyper Protect Accelerator.

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🔥 Senior Back End Developer (AI Product)

Posted 24 days ago

🧭 Full-Time

🔍 AI-driven talent acquisition

🔧 Requirements

A minimum of five (5) years of experience in backend development with Python and Django.
Proven expertise in designing scalable, high-performance web applications.
Strong understanding of database architecture, indexing, and query optimization.
Experience with containerization and orchestration tools such as Docker and Kubernetes.
Familiarity with asynchronous task processing using Celery, RabbitMQ, or Kafka.
Knowledge of cloud computing platforms (AWS, Google Cloud, Azure) and infrastructure-as-code solutions.

💡 Responsibilities

Architect, develop, and maintain backend services using Python and Django, ensuring performance, scalability, and security.
Design and implement RESTful APIs and GraphQL endpoints to facilitate seamless integration with AI-driven matching algorithms.
Manage and optimize relational and non-relational databases, including PostgreSQL and Redis.
Implement authentication and authorization mechanisms, such as OAuth, JWT, and Single Sign-On (SSO).
Collaborate with AI/ML engineers to integrate machine learning models into the platform.
Deploy and manage cloud-based services on AWS, Google Cloud, or Azure.
Develop and maintain CI/CD pipelines, automated testing frameworks, and performance monitoring tools.
Ensure adherence to security best practices and compliance requirements.
Work cross-functionally with frontend developers, product managers, and DevOps teams to enhance platform capabilities.

Posted 24 days ago

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