Backend Engineer - Node.js

We are looking for a Backend Software Engineer with strong hands-on expertise in Node.js, PostgreSQL, RabbitMQ, and Redis to join our core data services engineering team. In this role, you will design, build, and scale distributed microservices, REST APIs, and event-driven data pipelines handling high-throughput transactional and analytical workloads.

Responsibilities:

• Microservices and API Architecture: Architect, build, and maintain scalable, low-latency microservices and RESTful APIs using Node.js, Express.js, and TypeScript.
• Database Design and Performance Tuning: Design relational database schemas in PostgreSQL; optimize complex SQL queries, composite indexing, and database connection pools under concurrent traffic.
• Event-Driven Architecture: Implement event-driven queues, asynchronous background processing, and worker nodes using RabbitMQ to ensure fault-tolerant data flows.
• In-Memory Caching and Distributed Locking: Implement high-performance caching strategies, rate limiting, and distributed locking logic using Redis.
• Containerization and CI/CD: Containerize microservices using Docker and maintain automated deployment pipelines across cloud infrastructure (AWS/GCP).
• System Ownership: Take full end-to-end ownership of backend services from technical design and code reviews to production deployment, monitoring, and debugging.

Requirements:

• Experience: 3 to 5 years of solid hands-on experience in backend software development.
• Core Stack: Expert-level proficiency in Node.js, Express.js, and JavaScript (ES6+) / TypeScript.
• Database Mastery: Strong hands-on expertise in PostgreSQL (schema design, complex query writing, indexing, and performance tuning).
• Messaging and Queues: Proven experience in asynchronous processing and event-driven architectures using RabbitMQ (or Kafka/BullMQ).
• Caching and Storage: Hands-on experience with Redis for caching, rate limiting, and session management.
• DevOps and Infrastructure: Strong experience with Docker containerization and CI/CD workflows.
• Mindset: Strong logical reasoning, problem-solving skills, and a high-ownership startup mindset.

Nice-to-Have Skills (Bonus):

• Exposure to analytical data engines and semantic layers like Trino, Presto, ClickHouse, or Cube.js .
• Practical experience with Python for data workflows or automation.
• Experience handling high TPS loads, large-scale batch pipelines, or high-volume transactional systems.
• Experience using modern AI development tools (e. g., Cursor, Claude, and GitHub Copilot) to accelerate engineering workflows.