Software Professional

3 days ago


Mumbai, Maharashtra, India beBeeSoftware Full time ₹ 2,00,00,000 - ₹ 3,00,00,000
Job Overview

As a seasoned software professional, you will be part of our high-performance engineering team. You will collaborate with us to create and scale complex systems that drive rapid user growth.

Key Responsibilities:

  • Design and Develop Scalable Systems
  • Build server-side applications using TypeScript and Nest.js on Node.js, focusing on high-performance architectures and microservices.
  • Develop robust RESTful APIs that handle high-throughput traffic while integrating external services with proper error handling.
  • Implement real-time data processing using Kafka-based event streaming for inter-service communication and scalable message handling.
  • Deploy caching solutions with Redis for session management, data optimization, and multi-layer caching to reduce latency.
  • Manage containerized deployments using Kubernetes for orchestration, auto-scaling, and CI/CD pipeline implementation.
  • Monitor and optimize performance using profiling tools, load testing, and database tuning, including query optimization and indexing.

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, or related field.
  • 3-6 years of backend development experience with a focus on scalable systems.
  • Expert-level JavaScript/Node.js skills with a deep understanding of asynchronous programming.
  • Advanced SQL and PostgreSQL expertise, including database design and performance optimization.
  • Hands-on experience with Kafka, Redis, and Kubernetes in production environments.
  • Proven track record scaling applications to handle high user volumes and concurrent connections.
  • Experience with microservices architecture, distributed systems, and cloud platforms (GCP).
  • Strong problem-solving skills with a focus on system design and performance optimization.

Bonus: Experience scaling PostgreSQL to 10,000+ worldwide users, using partitioning, connection poolers, and query optimization for high-concurrency workloads.



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