Job Type: Full Time
Job Category: IT

Job Description

Job Title: Python Full Stack Security Engineer

Location: Phoenix, AZ 

Full Time

 

Job Description

Python Full Stack Security Engineer

 

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.

 

Roles & Responsibilities

•              Strong Python proficiency and experience building production backend services, APIs, integrations, and automation.

•              Working knowledge of AWS, Azure, or GCP, including deployment, identity, secrets, logging, and security controls.

•              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.

•              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.

Required Skills
DevOps Engineer

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