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MuleSoft Architect

Location: India, Remote

Work Experience: 12+Years (IT experience with strong enterprise integration background)

Requirements:

  • Deep hands-on experience with MuleSoft Anypoint Platform.
  • Strong experience with Anypoint Design Center, API Manager, Runtime Manager, and Anypoint Exchange.
  • Strong understanding of API-led connectivity and layered API architecture.
  • Experience designing System APIs, Process APIs, and Experience APIs.
  • Strong hands-on experience with Mule 4.x.
  • Strong DataWeave development and transformation expertise.
  • Experience designing REST APIs, RAML/OAS specifications, API contracts, API policies, and lifecycle governance.
  • Strong understanding of integration patterns including request-response, asynchronous messaging, event-driven integration, batch processing, orchestration, and transformation.
  • Experience with enterprise security patterns for APIs and integrations.
  • Strong knowledge of OAuth 2.0, JWT, client credentials, basic authentication, mTLS, certificates, encryption, secrets, and secure connectivity.
  • Strong experience defining reusable assets, common frameworks, templates, and shared integration components.
  • Experience designing error-handling, logging, monitoring, alerting, and audit frameworks.
  • Strong CI/CD experience for MuleSoft using Git, Maven, build pipelines, deployment automation, and environment promotion.
  • Experience with unit testing and integration testing for Mule applications using MUnit or equivalent tools.
  • Strong understanding of API governance, versioning, access management, rate limiting, throttling, SLA policies, and reuse enforcement.
  • Strong familiarity with GitHub Copilot and MuleSoft Vibes.
  • Ability to define practical AI-assisted development patterns for coding, testing, documentation, reviews, and productivity improvement.
  • Excellent communication, stakeholder management, consulting, and presentation skills.
  • Ability to lead design reviews, governance forums, and architecture discussions.
  • Ability to mentor developers and guide teams on MuleSoft best practices.
  • Define standards for using GitHub Copilot and MuleSoft Vibes in MuleSoft delivery.
  • Establish guardrails for AI-assisted code generation, test generation, documentation, and code reviews.
  • Guide teams on validating AI-generated Mule flows, DataWeave scripts, API specifications, and MUnit tests.
  • Define review checkpoints to ensure AI-generated assets meet security, quality, performance, and maintainability standards.
  • Promote responsible use of AI tools without compromising client data, credentials, intellectual property, or compliance requirements.
  • Identify repeatable use cases where AI can improve delivery speed, documentation quality, test coverage, and developer productivity.
  • Train and mentor developers on effective AI prompting, validation, refactoring, and review practices.
  • MuleSoft certification, such as MuleSoft Certified Platform Architect or MuleSoft Certified Integration Architect.
  • Experience with CloudHub, CloudHub 2.0, Runtime Fabric, or hybrid Mule runtime deployments.
  • Experience with enterprise integration involving SAP, Salesforce, ServiceNow, Workday, databases, file systems, message queues, and REST/SOAP services.
  • Experience with messaging platforms such as Kafka, Anypoint MQ, IBM MQ, Azure Service Bus, or similar.
  • Experience with Azure DevOps, GitHub Actions, Jenkins, Bitbucket Pipelines, or similar CI/CD platforms.
  • Experience with observability tools such as Splunk, ELK, Grafana, Prometheus, Datadog, New Relic, or Anypoint Monitoring.
  • Experience in regulated enterprise environments such as healthcare, pharma, insurance, banking, or retail.
  • Exposure to domain-driven design, microservices architecture, event-driven architecture, and enterprise API marketplaces.
  • Familiarity with enterprise architecture tools, integration catalogs, API catalogs, and governance dashboards.

Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Job Description:

  • Own and define the enterprise integration reference architecture using MuleSoft Anypoint Platform.
  • Design scalable, reusable, secure, and maintainable integration solutions across enterprise applications.
  • Define and enforce API-led connectivity patterns, including System APIs, Process APIs, and Experience APIs.
  • Lead solution architecture for MuleSoft integration projects across design, build, test, deployment, and support phases.
  • Define standards and guardrails for API design, implementation, error handling, logging, monitoring, security, and governance.
  • Establish reusable frameworks, templates, common services, shared libraries, and Exchange assets.
  • Design and govern integration intake processes, estimation models, delivery standards, and architecture review checkpoints.
  • Lead API design using Anypoint Design Center and promote reuse through Anypoint Exchange.
  • Define API lifecycle management practices using API Manager, policies, versioning, contracts, SLA tiers, and access controls.
  • Guide runtime deployment architecture using Runtime Manager, CloudHub, Runtime Fabric, or customer-approved Mule runtime environments.
  • Provide architectural direction for Mule 4.x development, DataWeave transformations, connectors, batch processing, API orchestration, and event-driven integrations.
  • Define integration security standards including authentication, authorization, OAuth, client credentials, mTLS, encryption, secrets management, and secure API exposure.
  • Establish standard error-handling, retry, circuit-breaker, exception mapping, correlation ID, and audit logging patterns.
  • Define observability practices for API metrics, logs, alerts, dashboards, tracing, and operational support.
  • Design CI/CD processes for Mule applications using Git, Maven, automated pipelines, environment promotion, automated testing, and deployment governance.
  • Define patterns for using GitHub Copilot and MuleSoft Vibes for code generation, test creation, documentation, code review, and developer productivity.
  • Lead design reviews, architecture governance forums, and technical decision-making with client and internal stakeholders.
  • Mentor MuleSoft developers and enforce reuse, design discipline, code quality, and platform best practices.
  • Collaborate with enterprise architects, security teams, DevOps teams, business stakeholders, QA teams, and delivery managers.
  • Support performance tuning, capacity planning, troubleshooting, production readiness, and release governance.