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Python Developer (F2F interview process)

HAN IT Staffing Inc.Wilmington, DE🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationWilmington, DE, United States
DjangoDynamoDBFastAPIFlaskMicroservicesMongoDBAWSAPI GatewayJWTPythonRESTReactKubernetesZoomCI/CDIAM

Job description

Job Title: Sr. Python AWS full stack Developer (3)

Location: Wilmington, DE – 5 Days onsite Role

Long Terem project

Experience Required: 10+ Years

Interview Process:

  • Round 1: zoom interview with 2-3 people panel
  • Round 2: In-Person at any JPMC location

Position Overview: We are seeking a highly skilled Senior Python AWS Full Stack Developer to design, develop, and deploy scalable cloud-native applications. The ideal candidate will possess strong expertise in AWS backend services, Python API development, React front-end engineering, and containerized deployments on Kubernetes/ECS platforms. This role requires hands-on experience building enterprise-grade microservices, cloud infrastructure, CI/CD pipelines, and highly available distributed systems.

Python Backend API Development:

  • Develop robust, secure, and scalable RESTful APIs and microservices using Python.
  • Build backend services using:
    • FastAPI
    • Flask
    • Django/Django REST Framework
  • Design event-driven and asynchronous applications.
  • Integrate third-party services and enterprise applications.
  • Develop unit tests, integration tests, and API documentation.
  • Implement authentication and authorization using OAuth2, JWT, and AWS Cognito.
  • Optimize database interactions and API performance.

Key Responsibilities

AWS Backend Engineering

  • Design, implement, and maintain scalable cloud-native architectures on AWS.
  • Develop and manage infrastructure utilizing:
    • IAM (Identity and Access Management)
    • VPCs, Subnets, Route Tables, Security Groups
    • Application Load Balancers (ALB)
    • API Gateway
    • CloudWatch Monitoring and Alerting
    • S3 Storage Solutions
    • ECS/EKS Clusters
    • AWS Lambda Serverless Functions
    • RDS/Aurora Databases
    • MongoDB or DynamoDB
  • Implement infrastructure security, monitoring, disaster recovery, and high-availability solutions.
  • Optimize cloud performance, scalability, and cost efficiency.

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