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Nodejs developer

London
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Developer
€60,000 a year
Posted: 2 March
Offer description

Location: London - 4 days a week in the office

Job Type: Full-Time

Currently working with an AI-powered technology company that provides innovative infrastructure solutions for professionals. Our platform empowers businesses and professionals to optimise workflows, streamline operations, and leverage cutting‑edge artificial intelligence to solve complex challenges. The team are now looking for a Node.js Developer to join our growing team and contribute to the development of our advanced infrastructure products.


Key Responsibilities

* Design, develop, and maintain scalable, high-performance web applications and APIs using Node.js.
* Work closely with cross‑functional teams, including data scientists, engineers, and product managers, to integrate AI‑driven capabilities and infrastructure tools into our platform.
* Build robust backend services to support our platform’s architecture, ensuring security, scalability, and optimal performance.
* Develop and integrate systems that can handle large datasets and support real‑time data processing.
* Optimise codebase and algorithms to enhance the efficiency and reliability of infrastructure services.
* Troubleshoot and debug complex technical issues to maintain system stability.
* Write clean, modular, and maintainable code following best practices.


Requirements

* 3+ years of experience in developing applications using Node.js and backend technologies.
* Familiarity with designing and working with RESTful APIs and microservices architecture.
* Experience with database technologies like MongoDB, PostgreSQL, and MySQL.
* Experience working with cloud platforms (e.g., AWS, Azure, or GCP).
* Familiarity with Docker, Kubernetes, or other containerisation tools.
* Ability to design and implement high-performance, scalable backend solutions.
* Solid understanding of web security best practices.


Preferred Skills

* Familiarity with AI or machine learning concepts, particularly in integrating AI into professional workspaces.
* Experience working with real-time systems, messaging queues, and event-driven architectures.
* Knowledge of cloud-native applications, serverless architectures, and infrastructure automation.
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