Sr. Python AWS Full Stack Developer

Longfinch Technologies; Arlington (VA); On-site; USD 120,000 - 170,000; Full time

Job summary

Longfinch Technologies in Arlington, VA seeks an experienced backend engineer to design scalable AWS-based services using Python and modern frontend integration. You will build RESTful APIs, deploy microservices on AWS (EC2/Lambda, RDS/DynamoDB), and collaborate with frontend developers using React to deliver secure, high-performance applications.

The role emphasizes CI/CD with CodePipeline/CodeBuild, containerization with Docker/Kubernetes, and robust observability via CloudWatch.

Qualifications

• Experience with Python backend frameworks (Flask, Django, FastAPI).
• Frontend experience with React.js is preferred.
• Strong knowledge of REST APIs and microservices.

Responsibilities

• Designed and developed scalable backend applications using Python and AWS cloud infrastructure.
• Built responsive front-end applications using JavaScript and React.js and integrated with backend services.
• Developed and deployed cloud-native applications using AWS services (Lambda, API Gateway, S3, RDS).
• Implemented data processing with Python, SQL, PostgreSQL, DynamoDB and optimized queries.
• Automated deployment and CI/CD workflows using AWS CodePipeline/CodeBuild, Docker and Git.

Skills

Python

React.js

AWS cloud

REST APIs

CI/CD

Tools

AWS

Docker

Kubernetes

Job description

Job description
Must Have:

• AWS backend engineering ( IAM, VPC/networking basics, CloudWatch, S3, ALB/API Gateway, ECS/EKS or Lambda, and RDS/Aurora, MongoDB etc)
• Python Backend API engineering
• React (modern) + frontend engineering is preferred
• Container platform (EKS/ECS scaling, service mesh basics, blue/green or canary deployments)

Responsibilities

• Designed and developed scalable backend applications using Python, Flask, Django, and FastAPI, implementing RESTful APIs and microservices deployed on AWS cloud infrastructure.
• Built responsive front-end applications using JavaScript, React.js, HTML5, and CSS3, integrating user interfaces with Python-based backend services and AWS-hosted APIs.
• Developed and deployed cloud-native applications using AWS Lambda, API Gateway, EC2, S3, and RDS, ensuring high availability, scalability, and secure data processing.
• Implemented data processing and database integration using Python, SQL, PostgreSQL, and DynamoDB, optimizing queries and improving application performance.
• Automated application deployment and CI/CD workflows using AWS CodePipeline, CodeBuild, Docker, and Git, streamlining release management and ensuring consistent deployments.
• Implemented application security, monitoring and troubleshooting using AWS IAM, CloudWatch and ... etc...