Senior Backend Engineer (Python/Node.js)

Tanqeeb; Abu Dhabi; On-site; AED 420,000 - 660,000; Full time

Job summary

NorthBay in Abu Dhabi, UAE seeks a Senior Backend Engineer to architect scalable APIs and data pipelines for AI-driven systems. You will integrate ML models, ensure reliability and security, and own backend performance in production environments.

Join a team that collaborates with AI/ML and DevOps to deploy models, manage feature stores, and optimize data processing at scale. Strong backend and cloud skills are essential.

Qualifications

• 5+ years of professional backend development experience.
• Strong hands-on experience with Python, Django, and Flask.
• Strong experience with Node.js and Nest.js.
• Proficiency in TypeScript, REST/GraphQL APIs, PostgreSQL, and MongoDB.
• Experience designing scalable event-driven architectures using Kafka and/or RabbitMQ.
• Hands-on experience with AWS or Azure cloud platforms.
• Strong experience with Docker and Kubernetes.
• Experience with API development, backend security, performance optimization, testing, and CI/CD.

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 ML inference endpoints, batch jobs, and model serving workflows.
• Collaborate with DevOps and ML engineers to deploy models and manage data stores.
• Implement secure, high-performance backend systems with caching, queuing, and monitoring.
• Wrap ML models into production APIs with AI engineers.
• Develop reusable modules and implement unit and integration tests.
• Support CI/CD pipelines and containerized deployments on cloud infrastructure.

Skills

Python

Django

Flask

Node.js

Nest.js

TypeScript

PostgreSQL

MongoDB

Kafka

RabbitMQ

AWS

Azure

Docker

Kubernetes

Tools

Docker

Kubernetes

Kafka

RabbitMQ

AWS

Azure

Job description

Job description

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.