Python Full Stack Developer React; F2F Phoenix

Title:

Python Full Stack Developer with React

Location:

Phoenix, AZ

• This role is focused on engineering security solutions.
• The successful candidate will combine full-stack software engineering, security engineering, identity, automation, and systems integration skills to translate security challenges into production-ready technical capabilities.
• The role requires a hands-on full-stack developer who can independently design and build solutions across the technology stack, from user interfaces and APIs to backend services, data stores, integrations, and deployment.
• Candidates should be comfortable moving between layers of a solution and applying security principles throughout the architecture and development lifecycle.

• 6-9 years of software development experience.
• Strong Python proficiency and experience building production backend services, APIs, integrations, and automation.
• Demonstrated full-stack development experience across front-end, backend, APIs, databases, and deployment.
• Experience translating security requirements and risks into scalable technical solutions and controls.
• Experience with backend and front-end frameworks such as FastAPI, Flask, Django, React, Angular, or Vue.
• Strong understanding of IAM, including authentication, authorization, RBAC/ABAC, OAuth/OIDC, SSO, and federation.
• Experience integrating with identity and security platforms such as Okta, Microsoft Entra , Auth0, or similar.
• Experience designing and securing RESTful APIs and system integrations.
• Understanding of secure application design, including least privilege, secrets management, data protection, and defense in depth.
• Experience building security tooling and automation to enforce controls, integrate systems, analyze data, or streamline operations.
• Experience with relational and/or No
  
  SQL databases and secure data-access patterns.
• Working knowledge of AWS, Azure, or GCP, including deployment, identity, secrets, logging, and security controls.
• Proficiency in Linux/Unix environments, including troubleshooting, logging, service management, and scripting.
• Familiarity with Docker, Kubernetes, and CI/CD for deploying and operating applications.
• Proficiency with Git, code review, testing, and modern software engineering practices.
• Ability to work with security telemetry, logs, APIs, and structured data for analysis and automation.
• Exposure to pandas, Num Py, scikit-learn, or similar libraries for data processing and experimentation.
• Familiarity with generative AI/LLMs, including prompt design, API integration, output evaluation, and security considerations.