Sr. Python AWS full stack Developer
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Job ID: J53767Job Title:
Sr. Python AWS full stack Developer
Location: Austin, TX
Duration: 24 Months + Extension
Domain Exposure: Oil & GasWork Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2CView All Jobs
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Job Title: Sr. Python AWS full stack Developer
Location: Austin, TX Duration: 8 Months + Extension
Bill Rate: $76/hour (C2C)
Job Type: W-2, 1099, C2CClient: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, OtherJob Description
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: FastAPIFlaskDjango/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 ResponsibilitiesAWS 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 AlertingS3 Storage SolutionsECS/EKS ClustersAWS Lambda Serverless FunctionsRDS/Aurora Databases MongoDB or DynamoDBImplement infrastructure security, monitoring, disaster recovery, and high-availability solutions. Optimize cloud performance, scalability, and cost efficiency. Apply NowEqual Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law. Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.