Sr. Python AWS Full Stack Developer

Veriipro; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Veriipro in Houston is seeking an experienced engineer to design scalable backend services using Python, Flask/Django/FastAPI, and to integrate with AWS-hosted APIs. Frontend work with React is preferred, with strong collaboration across UI and backend teams.

You will deploy cloud-native apps on AWS, ensure performance, security, and reliability, and participate in CI/CD workflows using Docker and Git. This role emphasizes modern web architecture and scalable systems.

Qualifications

• Experience designing scalable backend services and APIs.
• Strong frontend knowledge with React preferred.
• Hands-on with cloud-native architectures on AWS.
• Familiarity with containers and orchestrations (Docker/EKS/ECS).

Responsibilities

• Design and develop scalable backend applications using Python and microservices on AWS.
• Build responsive UIs with React and connect them to Python backends.
• Deploy cloud-native apps using Lambda, API Gateway, EC2, S3, and RDS.
• Implement data storage with PostgreSQL and DynamoDB, optimize queries.
• Automate deployments with CI/CD using CodePipeline, CodeBuild, Docker, and Git.
• Ensure security, monitoring, and reliable production support via IAM, CloudWatch, and Secrets Manager.

Skills

Backend engineering

Frontend engineering

Cloud-native

Tools

AWS

Python

React

EKS/ECS

Docker

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 AWS Secrets Manager, ensuring secure access control, reliable application performance, and efficient production support.