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Job Title: NodeJS Developer with Kafka Location: Gurgaon Work Mode: Onsite 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 Design Event Pipelines : 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 LangChain. 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 BFSI Experience : 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.
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