Python Full Stack Security Engineer

Tata Consultancy Services · Phoenix, AZ
LinkedIn

Posted

Oct 02, 2026 (11d ago)

Seniority

Not Specified

Work Model

Not Specified

Type

Not Specified

Category

Security

Salary

$100k – $110k

Skills

Angular AWS Azure CI/CD Django Docker FastAPI Flask GCP Generative AI Git Go Java JavaScript Kubernetes Linux NumPy OAuth Pandas Python React Scikit-learn SSO TypeScript Unix

Description

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. Salary Range- $100,000-$110,000 a year