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# Sr. Python AWS full stack Developer

- **Company:** Robotics Technologies LLC
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $158,080.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Application Performance Management, User Authentication, Unit Testing, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Disaster Recovery, Distributed Systems, Django Web Framework, Amazon DynamoDB, Identity and Access Management, IP Routing, Subnetting, Python (Programming Language), MongoDB, OAuth, JSON Web Token, Enterprise Software Applications, Load Balancing, Spring Cloud, ReactJS, Flask (Web Framework), AWS Lambda, Backend, Fastapi, Containerization, Integration Tests, Kubernetes, Front End Software Development, Api Design, Cloudwatch, Api Gateway, Restful APIs, Serverless Computing, Microservices
- **Published:** November 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=099e8420079f880a

## About the Role

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.

## Description

* 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., 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.