
Advanced System Architect
22 hours ago
High-Performance Backend Engineer Position
">The ideal candidate will play a pivotal role in crafting, developing, and maintaining high-performance RESTful APIs using Node.js and MongoDB. The engineer will be responsible for designing, optimizing, and maintaining scalable backend systems that handle large data volumes and high-traffic production environments efficiently.
">- Design and Development: Design, develop, optimize, and maintain high-performance RESTful APIs using Node.js and MongoDB.
- Scalability & Performance Optimization: Optimize backend performance to ensure seamless handling of large data volumes and high-traffic production environments.
- Multi-Tenant SaaS Architecture: Develop and maintain multi-tenant architectures ensuring efficient data policies, security, scalability, and maintenance.
- Microservices Architecture: Design and implement microservices-based solutions to ensure modularity and maintainability.
- Database Management: Proficiently manage and optimize MongoDB, including indexing, aggregation, and performance tuning.
- System Engineering: Collaborate with DevOps teams to ensure the scalability, reliability, and security of backend systems.
- Product Development: Work closely with product teams to build long-term, scalable backend solutions.
- Code Quality & Security: Write clean, maintainable, and secure code following industry best practices. Enforce coding standards and conduct detailed code reviews.
- Monitoring & Debugging: Implement logging, monitoring, and debugging tools to ensure system reliability.
- Collaboration: Work closely with frontend teams and DevOps teams to ensure seamless API integrations and deployments.
Required Qualifications and Skills
">- 7+ years of experience in backend development with Node.js and MongoDB.
- Strong understanding of microservices architecture and system design principles.
- Experience in building and maintaining multi-tenant SaaS applications.
- Proven experience handling large-scale data and high-traffic production systems.
- Proficiency in MongoDB, including schema design, indexing strategies, and performance optimization.
- Experience with event-driven architecture and messaging queues (e.g., AWS SQS, RabbitMQ, Kafka).
- Knowledge of authentication and authorization mechanisms (JWT, AWS Cognito, SSO).
- Strong experience with API development best practices, security, and rate limiting.
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
- Proficiency in cloud services (AWS, GCP, or Azure) for backend infrastructure.
Preferred Skills
">- Experience with Redis, ElasticSearch, or other caching mechanisms.
- Knowledge of serverless architectures and cloud-native development.
- Exposure to REST / gRPC for API communication.
- Understanding of data streaming and real-time processing.
- Experience with NoSQL and relational database hybrid architectures.
- Familiarity with observability tools (Prometheus, Grafana, ELK Stack).
- Experience in automated testing for backend systems.
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