Senior Backend Developer - NodeJs, Express Js

Recruitment Process

  1. Apply

    Send your application with the Apply button.

  2. Interviews

    Our team schedules your interviews.

  3. Review

    The hiring team reviews your interviews and tasks.

  4. Job Offer

    Selected candidates receive a job offer and are hired.

About the Job

We are looking for a skilled Backend Developer with at least 2 years of experience to join our engineering team. The ideal candidate is a specialist in Node.js, Express, and MongoDB, with a strong grasp of TypeScript and modern data technologies like BigQuery.

While your primary focus will be building scalable backend architectures and robust APIs, you will also leverage your secondary skills in Next.js and React to support frontend integration. You will play a critical role in optimizing application performance, ensuring code quality, and implementing AI-driven features through Prompt Engineering

Key Responsibilities

  • Backend Architecture & Development: Design and maintain scalable backend systems using Node.js, Express, and TypeScript. Build and manage complex API routes and real-time features using WebSockets.
  • Database Management: Architect and manage NoSQL databases (MongoDB) for high availability and performance. utilize BigQuery for data warehousing and analytics tasks.
  • API & Integration: Develop secure RESTful APIs and integrate third-party APIs. Handle Next.js API routes to support frontend requirements.
  • AI Integration: Apply Prompt Engineering techniques to integrate LLM/AI capabilities into the backend workflow.
  • Testing & Quality Assurance:
    • Write and maintain automated unit tests using Jest.
    • Perform comprehensive manual testing, including Functional, API, Performance, and Security testing.
  • Performance Optimization: Monitor and optimize application performance using tools like New Relic and Clarity. Implement caching strategies using Redis.
  • Frontend Collaboration: Collaborate on frontend tasks using Next.js, React, and Tailwind CSS to ensure seamless integration between server and client..

Technical Requirements

Primary Stack (Must Have)

  • Languages: Strong proficiency in JavaScript (ES6+) and TypeScript.
  • Frameworks: Expert-level knowledge of Node.js and Express.js.
  • Database: Deep understanding of MongoDB (NoSQL) and experience with BigQuery.
  • Key Concepts: Real-time communication (WebSockets) and Prompt Engineering for AI applications.

Secondary Stack (Good to Have)

  • Frontend: proficiency in React.js and Next.js.
  • Styling: Experience with Tailwind CSS.

Tools & Environment

  • Version Control: Git & GitHub.
  • IDE: VS Code.
  • Caching: Redis.
  • Testing: Jest (Automation), Postman / Talend API (Manual API Testing).
  • Monitoring: New Relic, Microsoft Clarity.

Candidate Profile

  • You have a minimum of 2 years of professional experience in backend development.
  • You are detail-oriented with a strong focus on Code Quality and security best practices.
  • You are comfortable wearing multiple hats—primarily a backend engineer, but capable of handling frontend tasks when required.
  • You have a problem-solving mindset and can troubleshoot complex performance issues.

Technical Proficiency

Highly experienced in designing and developing scalable RESTful APIs using Node.js and Express.js.

Skilled in performance optimisation techniques, including caching, compression, and minimising response times.

Strong proficiency in asynchronous programming patterns, including Promises, async/await, and callbacks, to ensure non-blocking I/O and efficient processing.

Expertise in designing, optimising, and scaling large datasets using Mongodb, with a focus on data modelling, indexing, and query optimisation.

Deep understanding of indexing strategies to enhance query performance in Mongodb.

Experienced in crafting complex aggregation pipelines to support analytical queries and reporting requirements.

Proficient in building real-time data using WebSockets (e.g., Socket.io), with exposure to scaling strategies like using Redis adapters for distributed environments.

Write and optimise BigQuery SQL queries using Node.js to fetch historical data.