MuleSoft Architect

Role

As a MuleSoft Architect at CapTech you will design, develop, and deliver enterprise integration solutions using MuleSoft across the full software development lifecycle. You will act as a trusted technical advisor to clients, align technical solutions with business goals, and contribute to architectural standards and reusable accelerators.

Key Responsibilities

• Collaborate with clients and project teams to define and deliver MuleSoft-based technical solutions.
• Lead design and architecture activities for API-driven integrations, microservices, event-driven integrations, cloud deployments, and serverless components.
• Serve as technical advisor and manage architectural scope while aligning solutions to business objectives.
• Communicate effectively with technical and non-technical stakeholders; create deliverables that convey technical solutions to appropriate audiences.
• Mentor architects and developers through architecture reviews, communities of practice, and knowledge sharing.
• Contribute to pre-sales activities including solution design, estimates, and delivery scoping.
• Advocate and contribute to architectural standards, best practices, and reusable accelerators.

Requirements

• 10+ years of software development experience.
• Experience with MuleSoft 4.x and MuleSoft integrations at an architectural level.
• Experience creating Mule applications in Anypoint Studio and publishing APIs to Anypoint Exchange.
• Familiarity with RAML and API development using REST and/or SOAP.
• Strong knowledge of integration patterns and experience integrating enterprise applications such as Salesforce, SAP, Workday, and Oracle ERP.
• Familiarity with microservice architectures, design patterns, monitoring tools, and CI/CD pipelines.
• Experience with cloud providers such as Azure, AWS, and/or GCP is a plus.
• Experience with relational and NoSQL database technologies.
• Demonstrated enterprise security practices.
• Experience working with LLMs (e.g., GPT, Claude, Mistral) in production, including prompt engineering, MCP and RAG, agentic AI architectures, and conversational UX.
• Experience with agentic frameworks and tools such as langchain, n8n, and pydantic, and familiarity with vibe coding and multi-agent systems.

Notes

• The role is project/consulting oriented and involves exposure to multiple clients and industry verticals.
• Visa sponsorship is not available for this position.