Senior Node.js Developer

Experience: 8+ Years Job Description: We are seeking a Senior Node.js Developer with over 8 years of experience to join our team immediately on a long-term contract. The ideal candidate is an expert backend developer, highly motivated, and capable of working independently while collaborating closely with cross-functional teams.As a key member of our backend engineering team, you will help design and develop web-based applications, services, and integrations in a highly scalable and secure environment.Key Responsibilities: Develop and maintain robust and scalable server-side logic using Node.js Design and implement RESTful APIs, including proper URL design, status codes, and middleware (e.g., authorization)Ensure API security using best practices (e.g., OAuth)Implement and maintain event-driven architectures Utilize and integrate AWS components to build cloud-native applications Design and implement microservices architecture and ensure scalability and performance Work independently as an individual contributor while coordinating with cross-functional teams Apply serverless design principles (e.g., AWS Lambda) for efficient compute and cost management Follow coding best practices and participate in code reviews Required Skills: 8+ years of professional experience in backend development with Node.js Hands-on experience in AWS services with real-world project examples Proficiency in microservices design, API development, and authorization middleware Experience with OAuth-based authentication & API security Familiarity with serverless architecture (e.g., AWS Lambda, API Gateway, etc.)Solid understanding of event-driven systems and asynchronous programming Knowledge of performance optimization and system scalability Strong analytical and problem-solving skills Excellent communication skills and the ability to work in a remote setup Experience with Type Script, Graph QL, or message brokers (e.g., Kafka, Rabbit MQ)Exposure to CI/CD, Docker, and infrastructure as code (e.g., Terraform)Understanding of time and space complexities for scalable design decisions