Senior Engineer, Applications & Platforms - R01570292

Senior Engineer, Applications & Platforms

Job requirements

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.