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Full Stack Developer (NodeJS | Kafka | AWS)

Unison Consulting Pte LtdKuala Lumpur, Kuala Lumpur, Malaysia

30+ hari lalu

Penerangan pekerjaan

Profile Summary :

Experienced Full Stack Developer with expertise in designing, developing, and deploying scalable web applications using Node.js , Kafka , and AWS Cloud Services . Skilled in building high-performance APIs, event-driven microservices, and cloud-native solutions with a focus on reliability, scalability, and security. Strong hands-on experience in both front-end and back-end development, with deep knowledge of cloud architecture and distributed systems.

Core Skills :

Backend Development : Node.js, Express.js, RESTful APIs, GraphQL
Frontend Development : React.js / Angular / Vue.js (based on need), HTML5, CSS3, JavaScript (ES6+)
Event Streaming & Messaging : Apache Kafka (producers, consumers, stream processing, topics, partitions, offset management)
Cloud Platforms : Amazon Web Services (AWS) – EC2, Lambda, S3, API Gateway, DynamoDB, RDS, CloudFormation, IAM, ECS / EKS
Databases : PostgreSQL, MySQL, MongoDB, DynamoDB, Redis
DevOps & CI / CD : Docker, Kubernetes, Jenkins, GitHub Actions, Terraform, AWS CodePipeline
Other Tools / Technologies : Microservices, Serverless Framework, ELK / CloudWatch Monitoring, Agile / Scrum

Roles & Responsibilities :

Design and implement scalable microservices and REST / GraphQL APIs using Node.js.

Develop event-driven architectures with Apache Kafka for real-time data streaming and asynchronous communication.

Deploy and manage applications on AWS Cloud with emphasis on security, availability, and cost-optimization.

Build and optimize front-end applications with React.js / Angular ensuring responsive UI / UX.

Integrate backend services with databases (SQL / NoSQL) and external APIs.

Implement CI / CD pipelines for automated build, testing, and deployment.

Ensure system reliability with monitoring, logging, and alerting using AWS CloudWatch / ELK Stack.

Collaborate with cross-functional teams (QA, DevOps, Product Owners) in Agile / Scrum environment.

Optimize application performance, memory management, and fault tolerance.

Sample Projects :

Real-Time Payment Processing System : Built using Node.js microservices with Kafka for streaming and AWS for scalability.

E-commerce Platform : Developed a full-stack application with React.js frontend, Node.js backend, Kafka for order events, and AWS RDS / DynamoDB for storage.

IoT Data Streaming Solution : Processed millions of real-time IoT events via Kafka topics and stored / processed data in AWS S3 and Lambda functions

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Stack Developer • Kuala Lumpur, Kuala Lumpur, Malaysia

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