Senior Backend Engineer; Node.js

Senior Backend Engineer (Python /Node.js)

Location:

Abu Dhabi, UAE

Employment Type:

Full-time

North Bay is seeking a Senior Backend Engineer to architect and build scalable APIs and data processing pipelines powering AI-driven systems
. The role involves integrating ML models into production workflows, managing data orchestration, and ensuring the overall reliability, security, and performance of AI services.

• Design and develop scalable backend services using Python, Django, Flask, Node.js, and Nest.js
  .
• Build and maintain scalable REST and GraphQL APIs
  .
• Integrate machine learning inference endpoints, batch jobs, and model serving workflows
  .
• Collaborate with Dev Ops and ML engineers to deploy models, manage feature stores
  , and handle large datasets.
• Implement secure, high-performance backend systems with caching, queuing, and monitoring
  .
• Partner with AI engineers to wrap ML models into APIs and deploy them into production environments
  .
• Develop reusable, maintainable modules and implement unit and integration testing
  .
• Support CI/CD pipelines
  , containerized deployments, and cloud-based backend infrastructure.

Required Skills & Qualifications

• 5+ years of professional backend development experience
  .
• Strong hands-on experience with Python, Django, and Flask — mandatory
  .
• Strong experience with Node.js and Nest.js
  .
• Proficiency in Type Script, REST/GraphQL APIs, PostgreSQL, and MongoDB
  .
• Experience designing and implementing scalable and event-driven architectures using Kafka and/or RabbitMQ
  .
• Hands-on experience with at least one major cloud platform:
  AWS or Azure
  .
• Strong experience with Docker and Kubernetes
  .
• Experience with API development, backend security, performance optimization, testing, and CI/CD
  .
• Ability to work closely with AI/ML and Dev Ops teams to product ionize AI solutions.

Optional but Desirable (AI-Focused Skills)

• Experience integrating ML model serving frameworks such as FastAPI, Triton, or Torch Serve
  .
• Exposure to data pipeline and orchestration tools such as Airflow, Kubeflow, or Dagster
  .
• Understanding of AI/ML observability tools such as Prometheus, Evidently AI, or Seldon Core
  .
• Experience working with ML inference, model APIs, feature stores, or large-scale data processing
  .