Senior Backend Engineer (Python/Node.js)

Abu Dhabi, UAE, United Arab Emirates

Full Time

Experienced

Senior Backend Engineer (Python /Node.js)

Location: Abu Dhabi, UAE
Employment Type: Full-time

Job Summary

NorthBay 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.

Key Responsibilities

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 DevOps 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 TypeScript, 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 DevOps teams to productionize AI solutions.

Optional but Desirable (AI-Focused Skills)

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

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