We use essential technologies to keep Swiftcruit secure and running. With your permission, we also use analytics and marketing technologies to understand usage and improve the product. You can change this anytime from Cookie Settings in the footer. Read our Cookie Policy.
Experience Range: 7+ years of hands-on experience in integration middleware platforms, including Mulesoft, Boomi, Workato, or similar tools, with demonstrated expertise in application and platform development Key Responsibilities:
Design and implement the AI integration layer, including MCP architecture and MCP Gateway, to enable seamless connectivity between AI agents and enterprise systems
Develop and maintain MCP server and tool registration, discovery, and lifecycle management capabilities to ensure robust integration workflows
Define and manage tool schemas, capabilities, and map existing platform functionalities into governed MCP tools to eliminate redundant integrations
Implement authentication, authorization, and session management using OAuth2/OIDC and service-to-service authentication protocols
Build and enforce agent registration, identity, and permission models to support secure agent-to-tool authorization and data-access policies
Create and manage risk classifications, policy-based limits, quotas, and human-in-the-loop approval workflows for high-risk actions
Develop and maintain comprehensive audit trails for agent actions and tool calls, ensuring compliance and traceability
Integrate MCP capabilities with the control plane, orchestration engine, and connector runtime, supporting observability, security, scalability, and production operations
Required Skills:
Hands-on experience with Mulesoft Anypoint Platform, Boomi, Workato, or comparable integration middleware tools
Expertise in API Manager for designing and managing APIs
Experience with Monitoring and Runtime Manager in integration platforms
Knowledge of Access Management and security protocols relevant to enterprise integration
Experience configuring and managing Dedicated Load Balancer or equivalent middleware components
Proficiency with Anypoint Exchange or similar asset management repositories
Advanced skills in Python, TypeScript, or Java backend development
Experience with distributed systems and API architecture in integration environments
Implementation of authentication and authorization frameworks including OAuth2 and OIDC
Design and management of secure, multi-tenant integration platforms
Preferred Skills:
Experience with MCP or similar AI integration frameworks
Hands-on expertise in LangGraph, Semantic Kernel, or OpenAI-compatible tool calling
Knowledge of policy engines such as OPA
Background in AI agent governance and human-in-the-loop systems
Experience with Kubernetes and cloud-native architecture
Familiarity with enterprise integration platforms and connector development
Desired Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a closely related discipline
Mulesoft Certified Developer or Architect certification
Certification in integration middleware or cloud technologies (e.g., Dell Boomi Professional Certification, AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert)
Additional Information: Client is seeking founding engineering talent in India to build a next-generation integration platform, requiring full-stack code literacy and hands-on experience with middleware tools and AI integration frameworks.
