Python Full stack Engineer
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Role details
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Requirements
”* 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”
Skills Required :”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.
- Strong Python proficiency and experience building production backend services, APIs, integrations, and automation.
- Full stack development - hands-on full-stack developer who can independently design and build solutions
- Identity Access Management
- RestfulAPI - user interfaces and APIs to backend services, data stores, integrations, and deployment.
- Security Domain
- Working knowledge of AWS, Azure, or Google Cloud Platform, including deployment, identity, secrets, logging, and security controls.”
Desired Skills:”* 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.”
Keywords:”Python API Fullstack development ,Security domain”
Experience: 3-4 Years
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