
Senior Backend System Architect
1 week ago
The role involves designing, developing, and optimizing high-performance backend systems using Node.js and MongoDB.
Key Responsibilities:
- Designing, developing, and maintaining RESTful APIs using Node.js and MongoDB.
- Optimizing backend performance for handling large data volumes and high-traffic production environments.
- Developing and maintaining multi-tenant architectures ensuring data policies, security, scalability, and efficiency.
- Designing and implementing microservices-based solutions, ensuring modularity and maintainability.
- Managing and optimizing MongoDB, including indexing, aggregation, and performance tuning.
- Collaborating with DevOps to ensure scalability, reliability, and security of backend systems.
- Implementing logging, monitoring, and debugging tools to ensure system reliability.
- Collaborating with frontend teams and DevOps to ensure seamless API integrations and deployments.
Qualifications:
- At least 7 years of experience in backend development with Node.js and MongoDB.
- A 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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