Senior MuleSoft Engineer

As a Senior MuleSoft Engineer, you will design and deliver API-led integration solutions on Anypoint Platform. You will drive architecture decisions, guide engineering teams, and ensure our clients receive scalable, secure, and AI-optimized integrations.

Key Responsibilities

Technical Delivery

• Lead technical design, implementation, and deployment of large-scale MuleSoft integration and API solutions (CloudHub 2.0, Runtime Fabric, Anypoint MQ, Flex Gateway, or on-prem).
• Develop and maintain DataWeave scripts, Mule flows, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins).
• Enforce architectural and security standards (RAML/OAS, OAuth2, JWT, TLS, encryption).
• Monitor and optimize integrations for performance, scalability, and maintainability.

Leadership & Collaboration

• Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
• Collaborate directly with stakeholders (clients, delivery team, business) to translate requirements into technical solutions.

Innovation & AI

• Advance automation with AI-assisted code review, static analysis, and LLM-based development platforms.
• Explore and implement AI/LLM services to augment integration workflows (e.g., summarization, transformation, document parsing, test data generation).

Ways of Working

• Operate in a flat, high-autonomy team structure without project managers.
• Self-govern to understand project needs, prioritize effectively, manage time, and deliver outcomes through ownership, direct communication, and accountability**.**

Required Qualifications

• API & Microservices Architecture: Expert in designing, implementing, and maintaining distributed, scalable API-led solutions using MuleSoft and industry-standard patterns.
• MuleSoft Platform Mastery: Advanced hands-on with Anypoint Platform, including DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, and Anypoint MQ.
• AI/LLM Tools & Automation: Passionate about leveraging AI-powered development platforms (Cursor, LLM-based assistants, static analysis) to accelerate solution design, code quality, and troubleshooting. Treats AI as a core tool for efficiency and innovation, not just an add-on.
• DevOps, CI/CD & Automation: Strong experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), containerization (Docker/Kubernetes), and cloud-native deployment strategies.
• Security & Integration Standards: Advanced knowledge of RAML/OAS, OAuth2, JWT, TLS, and encryption best practices; enforces architectural and security standards.
• Programming Proficiency: Skilled in Java and Node.js, with the ability to refactor legacy codebases into clean, maintainable solutions.
• MuleSoft Certifications: MuleSoft Certified Developer – Level 1 required; Architect or Integration Professional certifications strongly preferred.
• Self-organization & Communication: Proven ability to work independently, structure your own work, meet deadlines, and communicate clearly with both technical and non-technical audiences.
• Outcome Focus: Track record of delivering measurable business value, not just completing tasks.

Preferred/Bonus

• Experience integrating Salesforce, AWS, or other SaaS/ERP platforms.
• Familiarity with event-driven architectures (Kafka, Pub/Sub).
• Hands-on experience or strong interest in AI/ML pipeline design or integration.