Best suited to full-stack engineers with AI integration experience working in enterprise middleware environments.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Brillio 2 via Lever
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 operationsRequired 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 platformsPreferred 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 developmentDesired 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.
Source: Brillio 2 careers (Lever)