NestJS Backend Developer

As a Backend Developer, you will be responsible for the development and maintenance of our company's backend systems. Responsibilities -Design, develop, and maintain scalable backend systems and APIs using NestJS and Node.js -Collaborate with frontend engineers, designers, and product stakeholders to ensure seamless backend-frontend integration -Build efficient REST, GraphQL, and gRPC APIs, including streaming protocols where needed -Implement robust microservices architecture with focus on resilience, scalability, and performance -Work with SQL and NoSQL databases, ensuring high availability, data consistency, and optimal query performance -Integrate and manage message brokers like Kafka, Redis Pub / Sub, or RabbitMQ for event-driven architectures -Handle file processing and streaming workflows, including video / audio / file transformation pipelines -Optimize backend services for performance, reliability, and security -Conduct code reviews and mentor team members on best practices -Contribute to architectural decisions and technical planning -Utilize cloud platforms (AWS, GCP, or Azure) for deploying, scaling, and monitoring backend services -Stay current with emerging backend technologies, protocols, and engineering practices -Leverage AI-enhanced developer tools like Cursor, Trae, or MCP to boost development efficiency [Apply now at https : / / my.hiredly.com / jobs / jobs-malaysia-webby-sdn-bhd-job-nestjs-backend-developer]

• Excellent problem-solving, communication, and collaboration skills -Proven experience as a Backend Developer with NestJS, Node.js, and TypeScript -Solid understanding of REST, GraphQL, gRPC, and event streaming protocols -Experience designing and managing SQL (e.g. PostgreSQL) and NoSQL (e.g. MongoDB, Redis) databases -Hands-on experience with Kafka, Redis, or other message queues -Strong grasp of backend architecture patterns such as microservices, monoliths, and service orchestration -Experience handling file uploads, media encoding, or file streaming -Experience with CI / CD, version control (Git), and Agile practices -Bonus :   -Familiar with infrastructure-as-a-service (IaaS) and deploying apps to cloud environments -Familiarity with AI development workflows including RAG, embedding models, LangChain, vector DBs, or LLM inference -Familiar using AI-powered code tools / editors like Cursor, Trae, or MCP