Job
Description
is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We build intelligent, scalable, and future-ready digital platforms that drive the next wave of AI-powered transformation. Role Overview: We are seeking a highly skilled and experienced Senior Node.js Developer with 5+ years of hands-on experience in backend development. As part of our engineering team, you will be responsible for architecting and building scalable APIs, services, and infrastructure that power high-performance AI-driven applications. You ll collaborate with front-end developers, DevOps, and data teams to ensure fast, secure, and efficient back-end functionality that meets the needs of modern AI-first products. What we are looking from an ideal candidate? Design, build, and maintain scalable server-side applications and APIs using Node.js and related frameworks. Implement RESTful and GraphQL APIs for data-driven and real-time applications. Collaborate with front-end, DevOps, and data teams to build seamless end-to-end solutions. Optimize application performance, scalability, and security. Write clean, maintainable, and well-documented code. Integrate with third-party services and internal microservices. Apply best practices in code quality, testing (unit/integration), and continuous integration/deployment. Troubleshoot production issues and implement monitoring and alerting solutions. Preferred Skills: What skills do you need? Requirements: 5+ years of professional experience in backend development using Node.js . Proficiency in JavaScript (ES6+) and strong experience with Express.js , NestJS , or similar frameworks. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Strong understanding of API security, authentication (OAuth2, JWT), and rate limiting. Experience building scalable microservices and working with message queues (e.g., RabbitMQ, Kafka). Familiarity with containerized applications using Docker and orchestration via Kubernetes . Proficient in using Git, CI/CD pipelines, and version control best practices. Solid understanding of performance tuning, caching, and system design. Preferred Qualifications: Experience in cloud platforms like AWS , GCP , or Azure . Exposure to building backends for AI/ML platforms , data pipelines, or analytics dashboards. Familiarity with GraphQL, WebSockets, or real-time communication. Knowledge of infrastructure-as-code tools like Terraform is a plus. Experience with monitoring tools like Prometheus , Grafana , or New Relic . What We Offer: The chance to work on cutting-edge products leveraging AI and intelligent automation. A high-growth, innovation-driven environment with global exposure. Access to modern development tools and cloud-native technologies. Attractive compensation no constraints for the right candidate
