High-Performance Software Developer

10 hours ago

Kannur, Kerala, India beBeeSoftware Full time ₹ 15,00,000 - ₹ 20,00,000

Job Overview

We're seeking an experienced software professional to design and develop high-performance systems using cutting-edge technologies.

Key Responsibilities:

  • System Design: Build scalable server-side applications using TypeScript, Nest.js, and Node.js, focusing on distributed architectures and microservices.
  • Database Optimization: Design and optimize PostgreSQL databases with advanced scaling strategies, including replication, connection pooling, and performance tuning for growing user bases.
  • Real-Time Data Processing: Implement real-time data processing using Kafka-based event streaming for inter-service communication and scalable message handling.
  • Caching Solutions: Deploy caching solutions with Redis for session management, data optimization, and multi-layer caching to reduce latency.
  • API Development: Develop robust RESTful APIs that handle high-throughput traffic while integrating external services with proper error handling.
  • Deployment and Monitoring: 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.

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, or related field.
  • 3-6 years of backend development experience with focus on scalable systems.
  • Expert-level JavaScript/Node.js skills with 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.
  • Strong problem-solving skills with 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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