Company Description
Quantum Heaps is building the future of unified revenue execution for the AI-first era. We are creating an intelligent operating system for modern go-to-market teams bringing sales, marketing, customer engagement, and intelligence into one seamless platform.

What You Will Do
Design and implement scalable backend services using Node.js and Express.
Architect and optimize data models in MongoDB for high-performance transactional and analytical workloads.
Build secure, versioned RESTful and/or GraphQL APIs consumed by React frontends and AI services.
Design event-driven and asynchronous workflows using queues, background jobs, and streaming patterns.
Develop and maintain microservices that integrate AI workflows into the platform.
Implement caching strategies (Redis or similar) for performance optimization.
Ensure system reliability, scalability, and fault tolerance in production environments.
Improve CI/CD pipelines, observability, logging, and monitoring practices.
Collaborate with frontend engineers, product, and AI teams to define clean service contracts.




Drive backend architecture decisions aligned with long-term scalability and maintainability.

What You Bring
Backend engineering experience building production SaaS platforms.
Deep expertise in Node.js, Express.js, JavaScript/TypeScript, and backend design patterns.
Strong experience with MongoDB including schema design, indexing, aggregation pipelines, and performance tuning.
Experience building scalable REST or GraphQL APIs.
Solid understanding of authentication/authorization (JWT, OAuth, RBAC).
Experience with AWS infrastructure (EC2, S3, Lambda, RDS, etc.).
Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
Robust knowledge of system design, distributed systems fundamentals, and API security best practices.
Experience with performance optimization, caching, and database query tuning.
A product mindset and ability to translate complex requirements into reliable backend system

📌 Backend Developer (India)
🏢 Quantum Heaps
📍 India