
High Performance System Developer
12 hours ago
We are seeking a skilled software professional to design and build high-performance systems using modern technologies. You will collaborate with our team to create reliable infrastructure that supports rapid user growth.
- Design and develop scalable server-side applications using TypeScript and Nest.js on Node.js, focusing on high-performance, distributed architectures, and microservices.
- Optimize PostgreSQL databases with advanced scaling strategies, including replication, connection pooling, and performance tuning for growing user bases.
- 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.
- Develop robust RESTful APIs that handle high-throughput traffic while integrating external services with proper error handling.
- 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.
To be successful in this role, you should possess the following skills:
- 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: Blockchain familiarity and experience scaling PostgreSQL to 10,000+ worldwide users using partitioning, connection poolers, and query optimization for high-concurrency workloads.
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