Senior Backend Developer

1 day ago

Lahore, Punjab, Pakistan beBeeSoftware Full time $90,000 - $140,000
Backend Software Engineer Position

We are seeking a skilled Backend Software Engineer to join our team.

This role involves designing, building, and maintaining server-side components that power our AI solutions and integrate with machine learning systems. The successful candidate will work on creating robust, scalable, and high-performance backends that turn innovative AI concepts into production-ready applications.

Key Responsibilities
  • Create efficient backend services and APIs that support AI applications.
  • Collaborate with Data Engineers and ML/NLP Engineers to create seamless integration between backend systems and AI models.
  • Develop and implement RESTful APIs and interfaces for AI model deployment, inference, and monitoring.
  • Design and optimize database schemas, queries, and data access patterns for AI-driven applications.
  • Build fault-tolerant systems that handle large volumes of data and requests efficiently.
  • Implement authentication, authorization, and security measures to protect sensitive data.
  • Maintain documentation for APIs, backend services, and processes.
  • Participate in code reviews, architectural discussions, and technical planning.
  • Troubleshoot and resolve complex backend issues in production environments.
Requirements
  • Bachelor's degree in Computer Science or related field.
  • At least 2 years of experience in backend development with a focus on Python.
  • Expertise in Python web frameworks such as FastAPI, Django, or Flask.
  • Strong knowledge of RESTful API design, development, and documentation.
  • Experience with database technologies, including SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis).
  • Proficiency in API integration, microservices architecture, and containerization (Docker, Kubernetes).
  • Experience with asynchronous processing, task queuing systems (Celery, RabbitMQ), and WebSockets.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and serverless architectures.
  • Understanding of AI/ML deployment requirements and support for data science teams.
  • Knowledge of security best practices and authentication systems (OAuth, JWT).
  • Excellent problem-solving skills and attention to detail.
  • Good communication skills.
Preferred Skills
  • Experience with real-time data processing frameworks (Kafka, Apache Flink).
  • Knowledge of GraphQL and API gateway solutions.
  • Experience with CI/CD pipelines and DevOps practices.
  • Understanding of ML model serving platforms (TensorFlow Serving, MLflow, BentoML).
  • Experience with performance optimization and scalability of backend systems.

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