Backend Engineer (Node.js + Kafka)
- Compensation
- Not disclosed
- Location
- Gurugram, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Backend
- Posted
Skills
Nice to have
- 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.
Full description
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.
- **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: