
High-Performance System Architect
2 days ago
We're looking for a skilled Backend Developer to create and enhance our high-performance systems.
Main Responsibilities:- System Architecture: Design and implement scalable server-side applications using TypeScript, Nest.js on Node.js with focus on high-performance distributed architectures and microservices.
- Database Performance: Optimize PostgreSQL databases with advanced scaling strategies including replication, connection pooling, and performance tuning for growing user bases.
- 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.
- Containerized Deployments: Manage containerized deployments using Kubernetes for orchestration, auto-scaling, and CI/CD pipeline implementation.
- Performance Monitoring: 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 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 (GCP).
- Strong problem-solving skills with focus on system design and performance optimization.
Bonus: Familiarity with blockchain technology, and experience scaling PostgreSQL to 10,000+ worldwide users, using partitioning, connection poolers, and query optimization for high-concurrency workloads.
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