Python Full Stack Developer with React

Title: Python Full Stack Developer with React Location: Phoenix, AZ Summary 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. Technical Qualifications 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.Working knowledge of another language such as JavaScript/TypeScript, Java, or Go.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 ID, 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.Proficiency with HTML, CSS, and JavaScript/TypeScript and building usable, responsive interfaces.Experience with relational and/or NoSQL 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, NumPy, 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.