We are looking for a highly skilled Senior Node.js Developer to join our engineering team. In this role, you will be responsible for managing the interchange of data between the server and the users, developing all server-side logic, and ensuring high performance and responsiveness to requests from the front-end. You will play a key role in architectural decisions, mentoring junior developers, and scaling our infrastructure.

Core Responsibilities

• Backend Development: Design and implementation of low-latency, high-availability, and performant applications using Node.js.
• Architecture: Architecting scalable microservices and maintaining robust API structures.
• Database Management: Designing database schemas that represent and support business processes (PostgreSQL, MongoDB, Redis).
• Security & Compliance: Implementing security and data protection settings, and ensuring top-notch data encryption standards.
• Optimization: Identifying bottlenecks and bugs, and devising solutions to these problems to maintain code quality and automation.
• Collaboration: Working closely with frontend developers to integrate user-facing elements with server-side logic.
• Mentorship: Leading code reviews and providing technical guidance to mid-level and junior developers.

Technical Requirements

• Experience: Minimum 5 years of professional experience in backend development with a strong focus on Node.js.
• Language Proficiency: Expert knowledge of JavaScript (ES6+) and TypeScript.
• Frameworks: Deep experience with frameworks such as NestJS, Express.js.
• Database Knowledge: Proficiency in relational databases (PostgreSQL/MySQL) and NoSQL (MongoDB/Elasticsearch).
• Message Brokers: Experience with RabbitMQ, Kafka, or Redis Pub/Sub for asynchronous processing.
• DevOps & Cloud: Solid understanding of Docker, Kubernetes, and cloud platforms.
• Testing: Strong experience with TDD (Test Driven Development) using Jest, Mocha, or Chai.
• Version Control: Professional mastery of Git and CI/CD pipelines.

Preferred Qualifications

• AI Integration: Design and implement features leveraging LLM APIs (OpenAI, Anthropic, or open-source models) to enhance application capabilities.
• AI-Driven Productivity: Utilize AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate the development lifecycle, ensuring high-quality code output and faster prototyping.
• Prompt Engineering: Develop and optimize prompts for backend automation, data extraction, or natural language processing tasks.
• Experience in high-load systems and performance tuning.
• Strong communication skills and the ability to work in an Agile/Scrum environment