Lead the design and development of secure, scalable backend services using Python and FastAPI, integrating AI capabilities and ensuring compliance with cyber security standards.
Job timings: Mon - Fri US CST time zone
Job Location: Morocco (Remote)
Job Experience: 10 years
We are seeking an experienced Lead Full Stack Python & AI Developer (Remote) with strong expertise in Python, FastAPI, Cyber Security, and AI-driven backend systems. The role involves building secure, scalable, and enterprise-grade middleware services that integrate with multiple cloud, identity, HRIS, and collaboration platforms. The ideal candidate will have a strong security mindset, hands-on experience with system integrations, and the ability to embed AI-powered capabilities into backend services while maintaining strict security and compliance standards.
Key Responsibilities:
- Design, develop, and maintain secure, scalable backend and middleware services using Python and FastAPI
- Architect and implement middleware layers to enable seamless integration between enterprise systems
- Build and maintain secure REST APIs following industry best practices and security standards
- Implement and manage authentication and authorization mechanisms, including OAuth2, JWT, SSO, RBAC, and MFA
- Integrate and manage identity and access management systems such as Okta and Azure AD
- Develop integrations with cloud platforms including AWS and Microsoft Azure
- Manage customer inquiries related to product enhancements, technical issues, and product demonstrations.
- Build and maintain connectors for:
- HRIS platforms (e.g., Workday)
- Ticketing systems (e.g., Jira, ServiceNow)
- CRM platforms
- Active Directory (AD) and LDAPS
- SharePoint and enterprise file-sharing systems
- Ensure secure data handling, including encryption at rest and in transit, secure key management, and secrets rotation
- Apply cyber security best practices to protect systems against common threats, including OWASP Top 10 vulnerabilities
- Implement audit logging, access reviews, and compliance-related controls
- Monitor, analyze, and respond to security events and integration failures
- Design and optimize ORM-based database models, ensuring performance, scalability, and data integrity
- Collaborate with DevOps teams on secure cloud configurations, IAM policies, and CI/CD security controls
- Integrate AI and automation capabilities into backend systems, including:
- Using LLM APIs (e.g., OpenAI or similar)
- Building AI-assisted workflows and intelligent automation
- Ensuring data privacy and security in AI pipelines
- Write clean, maintainable, and well-documented code
- Participate in architectural discussions and contribute to security-first system design
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With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
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