Backend Platform & Security Engineer Immediate joiners

We are looking for a strong Backend / Platform & Security Engineer to design and build secure scalable backend services for enterprise Agentic AI and AI Copilot applications.

This is a combined role covering backend API development workflow orchestration gateway configuration secure integration boundaries session and state handling observability and enterprise identity integration.

The candidate should be capable of supporting multiple AI use cases across the organization including AI assistants workflow automation tool execution enterprise search analytics and agentic orchestration.

Strong preference will be given to candidates with Microsoft Azure Microsoft AI and enterprise platform experience.

Backend Engineering & API Development

Design and develop scalable backend services and APIs for enterprise AI applications.

• Build analytics-oriented read models service layers and integration APIs.
• Develop APIs for user sessions conversations document retrieval workflow execution reporting audit logs and AI interactions.
• Ensure APIs are secure performant observable and maintainable.
• Design backend services that support multiple agentic AI use cases across departments and business functions.

Agentic Workflow Orchestration

• Design and implement workflow orchestration for intent routing tool selection tool execution approval workflows and human-in-the-loop processes.
• Work with orchestration platforms such as N8N Microsoft Copilot Studio Semantic Kernel or similar frameworks.
• Implement session state conversation context memory handling execution tracing and workflow history.
• Support multi-agent and multi-tool execution patterns with proper governance and control.
• Ensure orchestration workflows are secure auditable and enterprise-ready.
• API Gateway Security & Integration Boundaries Configure and manage API gateways for authentication authorization throttling rate limiting request validation logging and monitoring.
• Implement secure integration patterns between AI applications enterprise systems databases document repositories and external APIs.
• Enforce clear boundaries between frontend backend orchestration layer AI services and enterprise data sources.
• Support token-based authentication managed identities API keys OAuth2 SSO and enterprise identity federation patterns.

RBAC Identity & Access Control

• Design backend services with RBAC-aware access control.
• Integrate with enterprise identity providers such as Microsoft Entra ID / Azure Active Directory.
• Implement role-based permissions tenant-level access department-level access and user-level data visibility rules.
• Ensure AI agents and tools operate within approved user permissions and organizational policies.
• Support audit trails for user actions AI actions data access and workflow execution.
• Observability Reliability & Operations Implement end-to-end observability across APIs workflows AI calls integrations and background jobs.
• Set up logging metrics tracing monitoring alerting and error handling.
• Support secure deployment DevOps pipelines environment configuration and production readiness.
• Design solutions with scalability fault tolerance maintainability and compliance in mind.

Required Skills & Experience

• Strong backend development experience using modern API frameworks.
• Experience designing secure scalable APIs for enterprise applications.
• Hands-on experience with workflow orchestration tools such as N8N Microsoft Copilot Studio Semantic Kernel Logic Apps Power Automate or similar platforms.
• Experience with API gateway configuration authentication authorization throttling logging and monitoring.
• Strong understanding of RBAC enterprise identity SSO OAuth2 JWT API keys and Microsoft Entra ID.
• Experience with session management state handling workflow execution and background processing.
• Good understanding of AI application architecture RAG systems agentic workflows and secure tool execution.
• Experience with cloud deployment containerized services CI/CD and production-grade monitoring.
• Strong knowledge of secure software development practices.

Preferred Technical Stack

Microsoft Azure

Azure OpenAI Service

Azure API Management

Microsoft Entra ID / Azure AD

Microsoft Copilot Studio

Azure Logic Apps / Power Automate

N8N

Azure Functions / App Services / Container Apps

Azure Kubernetes Service

Application Insights / Azure Monitor

Python FastAPI / .NET Core /

PostgreSQL / SQL Server / Cosmos DB

Redis or similar cache/session store

Microsoft Graph API

Semantic Kernel / LangChain / LlamaIndex

GitHub Actions / Azure DevOps

Required Experience:

Senior IC