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Metro-based mid-senior backend role with specialized Mulesoft skills creates moderate applicant competition.
Specialized middleware, Mulesoft, and AI-agent governance needs make background fit highly sensitive.
Mandatory 7+ years and required middleware, API, and auth expertise produce high shortlisting strictness.
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Design and implement AI integration layer (MCP architecture and Gateway) to enable connectivity between AI agents and enterprise systems.
Develop and manage MCP server registration, discovery, lifecycle management, and governance of integration workflows.
Implement secure authentication, authorization, risk/limit policies, audit trails, and integrate with control plane and orchestration engine for scalable production operations.
7+ years hands-on experience with integration middleware platforms (e.g., Mulesoft, Boomi, Workato).
Proficiency with API management, authentication frameworks (OAuth2/OIDC), and backend development using Python, TypeScript, or Java.
Bachelor's degree in CS, IT, or related field.
Mulesoft Certified Developer or Architect certification or equivalent integration/cloud technology certifications.
Experienced in building and operating secure, scalable, multi-tenant integration middleware platforms with API and identity management expertise.
Hands-on familiarity with AI integration frameworks (MCP or similar), including agent governance and human-in-the-loop workflows.
Strong full-stack coding skills and prior exposure to cloud-native architectures such as Kubernetes.