Python Full Stack Developer

Quick Facts

• Role: Python Full Stack Developer

• Location: Austin, TX (Hybrid)

• Interview: Telephonic & In Person

Description

You will design, develop, test, deploy, and support full-stack web applications using modern frontend and backend technologies. The work focuses on UI development, APIs, security, authentication and authorization, data integration, and production support. Experience with secure enterprise portals and healthcare/regulatory data is strongly preferred.

Responsibilities

• Develop and maintain full-stack web applications from design through production support
• Implement and support APIs and secure authentication/authorization flows
• Integrate data sources and support operational requirements in production
• Contribute to secure coding, testing, performance optimization, and monitoring/logging practices
• Support cloud integrations and cloud-native/event-driven architectures

Requirements

• 8+ years of experience designing, developing, testing, deploying, and supporting full-stack web applications
• Strong experience with UI development, APIs, security, authentication, authorization, data integration, and production support
• Preferred: 5+ years developing secure web portals or enterprise applications for internal/external users
• Preferred: Role-based access, identity management, secure coding, testing, performance optimization, operational support
• Preferred: React, TypeScript, JavaScript, Python, FastAPI, Terraform
• Preferred: Healthcare/public health/disease surveillance/health information domain experience
• Preferred: HIPAA, privacy, security, and data governance compliance
• Preferred: AWS and data platform integration (enterprise APIs, analytics platforms, data warehouses, large-scale ingestion)
• Preferred: OAuth 2.0, OpenID Connect (OIDC), SAML, or similar authentication/authorization
• Preferred: Event-driven architecture using cloud-native integration and messaging services
• Preferred: Modern delivery practices (Git, GitHub, CI/CD, DevSecOps, automated deployments, unit/integration testing, code reviews, defect tracking, monitoring, logging, documentation)
• Preferred: Docker and Kubernetes
• Preferred: AWS HealthLake, Snowflake, or similar cloud healthcare data platforms

Benefits

Not specified in the provided posting.