Role : Python Developer with NodeJS,FAST API & AWS
Location : Remote
Duration : Fulltime
Job Description :
Key Responsibilities :
- Large-Scale System Design :
- Architect and design robust, scalable, and resilient backend systems capable of handling high volumes of traffic.
- Implement best practices for system design, focusing on performance, scalability, and fault tolerance.
- API Gateway Management :
- Design and implement APIs, working with API Gateway (API GW) for scalable and secure communication.
- Establish throttling, failures, and retry strategies for APIs to handle traffic spikes, load balancing, and graceful failure handling.
- Serverless & AWS Lambda :
- Develop and deploy serverless functions using AWS Lambda to create highly scalable and cost-effective solutions.
- Optimize serverless applications for performance and resilience, ensuring they can handle real-time data and traffic.
- Throttling, Failures & Retry Strategies :
- Design strategies to manage API throttling limits, ensuring availability and reliability of services.
- Implement retry and failure handling mechanisms to improve the system's ability to recover from transient errors or failures.
- Semantic Cache Management :
- Design and implement semantic caching strategies to improve the speed and efficiency of data retrieval.
- Ensure optimal cache management policies, avoiding stale data and ensuring timely updates across the system.
Required Qualifications :
- Programming Languages :
- Strong proficiency in NodeJS and Python.
- Experience with backend frameworks such as Express, FastAPI, Flask, etc.
- API & System Design :
- Experience with designing and scaling RESTful APIs and GraphQL.
- Strong understanding of API Gateway concepts and implementations.
- Serverless Computing :
- Hands-on experience with AWS Lambda and other serverless technologies.
- Failure Handling & Retry Strategies :
- Experience in designing and implementing throttling, failure recovery, and retry strategies for large-scale systems.
- Caching Strategies :
- Knowledge of semantic cache management techniques and caching tools such as Redis or Memcached.
- Cloud Infrastructure :
- Strong experience with cloud platforms (preferably AWS) and distributed systems architecture.
- Preferred Qualifications :
- Experience with monitoring and logging tools like CloudWatch, Datadog, or Prometheus.
- Familiarity with containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation).
- Strong understanding of microservices architecture and event-driven systems.
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