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
Design Event Pipelines: Build high-throughput, fault-tolerant real-time streaming applications using Apache Kafka.
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Develop Microservices: Write clean, scalable, and secure enterprise-grade backend services using Node.js and TypeScript.
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Integrate AI Capabilities: Connect LLMs, predictive models, and AI-driven automation tools into backend workflows.
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Optimize Data Flows: Manage Kafka topics, partitions, consumer groups, and schema registries for financial transactions.
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Ensure High Security: Implement strict banking-grade compliance, data encryption, and secure API authorization layers.
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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.
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Apache Kafka: Strong experience handling event-driven systems, stream processing, and message retention strategies.
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AI/ML Integration: Proven track record of interacting with AI APIs, vector databases, or orchestrators like LangChain.
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Databases: Expert knowledge of relational systems (PostgreSQL, MySQL) and NoSQL solutions (MongoDB, Redis).
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Cloud & DevOps: Hands-on experience with Docker, Kubernetes, and secure cloud environments (AWS, Azure, or GCP).
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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.
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Data Privacy: Familiarity with financial regulations, PCI-DSS compliance, and secure data masking techniques.
