
Senior Backend Systems Engineer
7 days ago
As a skilled Backend Developer, you will play a vital role in crafting and scaling high-performance systems. Your expertise will be essential in designing and optimizing complex systems to meet the demands of our growing user base.
Key Responsibilities:
- Building Scalable Infrastructure: Develop server-side applications using TypeScript and Nest.js on Node.js with a focus on distributed architectures and microservices.
- Database Optimization: Design and optimize PostgreSQL databases with advanced scaling strategies including replication, connection pooling, and performance tuning for high-concurrency workloads.
- Real-Time Data Processing: Implement event streaming using Kafka-based technologies 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.
- Robust APIs: Develop 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.
- Team Collaboration: Collaborate across teams to ensure seamless API integration while maintaining high availability through comprehensive logging and monitoring.
- 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.
The ideal candidate will have experience scaling PostgreSQL to 10,000+ worldwide users, using partitioning, connection poolers, and query optimization for high-concurrency workloads.
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