• Develop and maintain backend services using Node.js and Express.js.
• Work with relational and non-relational databases such as MySQL, MongoDB, and Cassandra, ensuring data integrity and performance optimization.
• Utilize ORMs such as Sequelize and Mongoose to handle database operations efficiently.
• Implement messaging systems and real-time communication using Kafka, streams, and sockets.
• Design, develop, and optimize APIs for high availability and scalability.
• Deliver optimized, high-performance code that adheres to best practices.
• Apply knowledge of dynamic programming to solve complex problems and improve application performance.
• Implement and maintain efficient memory management strategies in code.
• Contribute to low-level design (LLD) by creating clear, modular, and maintainable architectures.
• Collaborate with cross-functional teams to understand various architectural patterns and adapt solutions accordingly.
• Debug and resolve issues in live applications, ensuring high system availability and reliability.
• Stay updated with the latest technologies and integrate them as necessary.
• Actively leverage AI tools (ChatGPT, Cursor, Claude Code, Codex, or equivalent) to accelerate backend development – from API scaffolding and schema design to debugging async code and refactoring legacy services.
• Use AI for architecture planning, code reviews, query optimization, and writing test cases – treating AI as a force-multiplier rather than a replacement for engineering judgment.
• 5 to 8 years of hands-on experience in full-stack development with Node.js and related technologies.
• Proficiency in working with databases like MySQL, MongoDB, and Cassandra.
• Strong understanding of Kafka and message-oriented middleware.
• Knowledge of real-time technologies such as WebSockets.
• Experience with ORMs like Sequelize and Mongoose.
• Proven experience with dynamic programming, algorithms, and data structures.
• Understanding of memory management techniques and performance optimization.
• Solid knowledge of low-level design principles and their application in software architecture.
• Familiarity with multiple architectural patterns and flexibility to work with diverse frameworks.
• Strong problem-solving skills and ability to work independently as well as in a team.
• Hands-on experience using AI coding assistants (ChatGPT, Cursor, Claude Code, Codex, or equivalent) in day-to-day development workflows, with the judgment to validate AI output rather than blindly accept it.
Experience with front-end frameworks such as React, Angular, or Vue.js.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
Exposure to containerization and orchestration tools like Docker and Kubernetes.
Strong communication skills and a proactive approach to problem-solving.
AI-Augmented Development at AbhiBus
At AbhiBus, we believe AI tools don’t replace engineers – they amplify them. We encourage and enable our backend engineers to work smarter and faster by integrating AI deeply into the development workflow:
Cursor / Claude Code / Codex (or equivalent) – IDE-integrated AI assistants with deep project context for faster navigation across large Node.js codebases, architecture planning, code review, refactoring, schema design, and debugging.
By using AI to cut boilerplate and reduce cognitive load, our backend teams ship faster, debug smarter, and spend more time solving real business problems.
Additional Information: Candidates are responsible for safeguarding sensitive company data against unauthorized access, use, or disclosure, and for reporting any suspected security incidents in line with the organization's ISMS (Information Security Management System) policies and procedures