Backend Architectural Specialist

1 week ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

We are seeking a highly skilled and experienced Senior Backend Developer to join our team.

The ideal candidate will have strong expertise in Python and proficiency in multiple backend technologies such as PHP, Java, .NET, and Node.js.

This role requires hands-on experience with AI technologies, ideally integrating or deploying AI models within backend systems.

Key Responsibilities:
  • Design, develop, and maintain scalable backend systems and APIs using Python and other backend languages.
  • Collaborate with frontend developers, DevOps, and data scientists to build robust, AI-enhanced web applications and services.
  • Architect and implement solutions in various backend languages and frameworks depending on project needs.
  • Integrate machine learning models and AI services into production-ready APIs and systems.
  • Write clean, testable, and maintainable code adhering to best practices and design patterns.
  • Optimize application performance and scalability.
  • Provide technical leadership and mentor junior developers.
  • Participate in code reviews, system design discussions, and technical planning.
  • Stay updated with emerging technologies, frameworks, and industry trends, especially in AI and backend development.
Requirements:
  • 4+ years of experience in backend development.
  • Strong proficiency in Python and at least one Python framework (e.g., Django, Flask, FastAPI).
  • Proficient in at least two of the following backend languages:
  • Node.js (Express, NestJS)
  • Experience working with AI/ML—either integrating pre-built models, using cloud-based AI services, or deploying custom models.
  • Deep understanding of RESTful APIs, microservices architecture, and asynchronous programming.
  • Strong knowledge of databases (SQL & NoSQL), caching, and messaging systems.
  • Familiarity with containerization (Docker) and cloud platforms (AWS, Azure, or GCP).
  • Comfortable working in agile teams with CI/CD workflows and Git-based version control.

Preferred qualifications include experience deploying AI/ML models using TensorFlow, PyTorch, or similar frameworks, knowledge of MLOps practices, exposure to GraphQL or gRPC, familiarity with DevOps practices and tools, and contributions to open source or tech community projects.

Soft Skills:
  • Excellent problem-solving and debugging skills.
  • Strong communication and collaboration skills.
  • Ability to adapt quickly to new technologies and shifting priorities.
  • Leadership qualities and a proactive mindset.

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