Description

Role Overview:

This role is centered on engineering robust security solutions, requiring a blend of full-stack software engineering, security engineering, identity management, automation, and systems integration skills. The successful candidate will be responsible for translating complex security requirements and risks into scalable, production-ready technical capabilities.

Key Responsibilities:

• Develop and build production-grade backend services, APIs, integrations, and automation using strong Python proficiency.
• Demonstrate comprehensive full-stack development expertise across front-end, backend, APIs, databases, and deployment processes.
• Translate security requirements and identified risks into effective and scalable technical solutions and controls.
• Design and implement secure RESTful APIs and system integrations.

Required Skills:

• Strong proficiency in Python for building backend services, APIs, integrations, and automation.
• Hands-on full-stack development experience, capable of independently designing and building solutions.
• Expertise in Identity Access Management (IAM), including authentication, authorization, RBAC/ABAC, OAuth/OIDC, SSO, and federation.
• Experience with RESTful APIs, user interfaces, backend services, data stores, integrations, and deployment.
• Strong understanding of the Security Domain.
• Working knowledge of cloud platforms such as AWS, Azure, or GCP, including deployment, identity, secrets management, logging, and security controls.
• Experience integrating with identity and security platforms like Okta, Microsoft Entra ID, or Auth0.
• Familiarity with other languages such as JavaScript/TypeScript, Java, or Go.
• Experience with backend and front-end frameworks including FastAPI, Flask, Django, React, Angular, or Vue.

Qualifications:

• 3-4 years of relevant experience.

Preferred Skills:

• Proficiency in Linux/Unix environments, including troubleshooting, logging, service management, and scripting.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines for deploying and operating applications.
• Proficiency with Git, code review processes, testing methodologies, and modern software engineering practices.
• Ability to work with security telemetry, logs, APIs, and structured data for analysis and automation.
• Exposure to data processing libraries such as pandas, NumPy, or scikit-learn.
• Familiarity with generative AI/LLMs, including prompt design, API integration, output evaluation, and security considerations

Key Skills

Education

Any Graduate