Senior MuleSoft Engineer
G
Green IronyConsulting Services
Remote - USAFull-TimeSenior
Salary135000 - 160000 USD per year
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Job Details
- Experience
- 3–5+ years
- Required Skills
- DockerNode.jsJavaJenkinsKubernetesOAuthGitHub ActionsAzure DevOps
Requirements
- 3–5+ years delivering integration programs for external clients (consulting services experience).
- Proven track record of managing client relationships through the full engagement lifecycle, including scope and change-order conversations.
- Expert in designing, implementing, and maintaining distributed, scalable API-led solutions using MuleSoft and industry-standard patterns.
- Advanced hands-on experience with Anypoint Platform, including DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, and Anypoint MQ.
- Demonstrated ability to self-govern in flat, PM-free consulting environments.
- Proficiency with AI/LLM tools and automation (e.g., Cursor, LLM-based assistants, AI-powered static analysis).
- Strong experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), containerization (Docker/Kubernetes), and cloud-native deployment strategies.
- Advanced knowledge of RAML/OAS, OAuth2, JWT, TLS, and encryption best practices.
- Skilled in Java and Node.js, with the ability to refactor legacy codebases.
- MuleSoft Certified Developer – Level 1 required.
- MuleSoft Architect or Integration Professional certifications strongly preferred.
Responsibilities
- Lead integration programs end-to-end for external clients from discovery and estimation through SOW shaping, stakeholder alignment, and delivery KPIs (on-time, on-budget, CSAT).
- Navigate the full relationship stack, translating architecture trade-offs to executives and earning trust with engineering teams.
- Anticipate risk early, communicate trade-offs clearly, and protect margin through change-order discipline.
- Own your calendar, estimates, and commitments, surfacing risks proactively.
- 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.
- Lead discovery sessions, shape estimates, and contribute to SOW development.
- Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
- Actively prototype and deploy AI/LLM services inside integration solutions (summarization, document parsing, intelligent transformation, synthetic test data generation).
- Advance automation with AI-assisted code review and LLM-based development platforms.
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