Experience: 2–5 Years
Location: Bengaluru (preferred) | Hyderabad (second preference)
Team: Network Price Manager (NPM) – Core Services
We are seeking a talented and execution-focused Software Engineer (Node.js) to join our dynamic Network Price Manager (NPM) team. This role is ideal for backend developers who are passionate about writing clean, scalable, production-ready code and can take ownership of execution with minimal supervision.
You’ll be building backend services that power logistics finance modules, working closely with cross-functional teams to ensure seamless development and deployment of backend features.
Key Responsibilities:Design, develop, and maintain robust backend services using Node.js for logistics finance modules.
Translate product requirements and technical designs into efficient, scalable backend logic.
Build and maintain RESTful APIs, asynchronous workflows, and microservice-based components.
Collaborate with frontend developers, QA engineers, and other team members to ensure timely and high-quality delivery.
Debug, test, and optimize code for performance and scalability.
Contribute to code reviews and maintain a high standard of code quality and best practices.
2–5 years of hands-on backend development experience using Node.js.
Solid experience building and consuming REST APIs.
Strong understanding of asynchronous programming, error handling, and microservice architecture.
Familiarity with version control (Git) and CI/CD pipelines.
Experience working in Agile environments using tools like JIRA.
Domain experience in logistics, supply chain, or finance-related applications.
Knowledge of databases like PostgreSQL or MongoDB.
Familiarity with Redis and message queues (e.g., RabbitMQ, Kafka).
About ShimentoX Technologies
ShimentoX Technologies is an AI-native enterprise transformation company focused on delivering outcome-driven solutions across data engineering, AI/ML, and enterprise platforms like SAP and ServiceNow. With global delivery centers in India, Mexico, and the US, ShimentoX partners with Fortune 1000 clients to build autonomous AI systems, modernize data ecosystems, and optimize digital workflows through intelligent automation.
