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Python Developer with NodeJS, FAST API & AWS

Salary undisclosed

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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.

Python Developer with NodeJS, FAST API & AWS1Python,AWS,NodeJS,lambda,Fast APiN/AFull Time,Full Time W2United States
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