Lead Full Stack Python & AI Developer (Remote)

This is a remote position.

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

Benefits

• Employee stock option plan (ESOP)
  
• Medical insurance
  
• Annual Increments
  
• Company gadgets
  
• Competitive salary and benefits package.
  
• Opportunities for professional development and growth.
  
• Collaborative and innovative work environment.
  
• Chance to work on cutting-edge cloud projects.
  
• Supportive and inclusive company culture