Backend Engineer (Node.js + Kafka)

Backend Engineer (Node.js + Kafka) Location: Gurugram About Us: SID Global Solutions is a premier AI-first digital transformation company, delivering intelligent full-stack solutions and services worldwide. We specialize in embedding AI across the enterprise to accelerate transformation, modernize technology, and unlock new revenue streams.

Our core expertise spans AI-powered modernization, cloud and infrastructure solutions, application innovation, and advanced data analytics. As a leading Google Apigee implementation partner, we also bring you SAMi-Smart API Monetization Platform our flagship platform for API management. With a global footprint and 1000+ professionals, SID Global Solutions is committed to building a smarter, AI-driven future through innovation and impact.

Backend Engineer (Node.js + Kafka & AI Integration) Job Overview We are seeking a skilled Senior Backend Engineer to design and scale high-throughput financial technology systems. You will build event-driven architectures and integrate artificial intelligence capabilities into core banking services. This role focuses on creating resilient, real-time data pipelines for a major banking client.

Key Responsibilities

Build high-throughput, fault-tolerant real-time streaming applications using Apache Kafka. Develop Microservices: Write clean, scalable, and secure enterprise-grade backend services using Node.js and TypeScript. Integrate AI Capabilities: Connect LLMs, predictive models, and AI-driven automation tools into backend workflows.

Optimize Data Flows: Manage Kafka topics, partitions, consumer groups, and schema registries for financial transactions. Ensure High Security: Implement strict banking-grade compliance, data encryption, and secure API authorization layers. Monitor Infrastructure: Set up deep observability, logging, and tracing using tools like Prometheus, Grafana, or ELK.

[1, 2, 3] Required Technical Skills Node.js: 5+ years of deep backend development experience using Express, NestJS, or Fastify. Apache Kafka: Strong experience handling event-driven systems, stream processing, and message retention strategies. AI/ML Integration: Proven track record of interacting with AI APIs, vector databases, or orchestrators like Lang.

Chain. Databases: Expert knowledge of relational systems (PostgreSQL, MySQL) and NoSQL solutions (MongoDB, Redis). Cloud & DevOps: Hands-on experience with Docker, Kubernetes, and secure cloud environments (AWS, Azure, or GCP). Testing: Proficiency in writing robust unit, integration, and end-to-end tests using Jest or Mocha.

Preferred Qualifications

Background building secure software within the banking, financial services, or insurance sectors. Data Privacy: Familiarity with financial regulations, PCI-DSS compliance, and secure data masking techniques.