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
Location: Anywhere
Posted: Oct. 14, 2024, 8:30 a.m.
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