Lead Mulesoft Engineer- INTL India

Required Skills & Experience

• 7–10 years of software engineering experience, with at least 5+ years of hands-on MuleSoft integration experience.
• Proven experience designing and leading enterprise-wide API and integration platforms.
• Strong experience delivering integration solutions in large-scale distributed enterprise environments.
• Experience working with global teams and leading technical delivery across multiple projects and stakeholders.
• Exposure to agile delivery methodologies and enterprise architecture governance processes.

Deep expertise with MuleSoft Anypoint Platform, including API Manager, Runtime Manager, Exchange, Design Center, and CloudHub.

• Strong proficiency in Mule 4, DataWeave, RAML/OpenAPI specifications, and RESTful API development.
• Extensive experience implementing API-led connectivity and enterprise integration patterns.
• Experience designing scalable, high-availability integration architectures in cloud and hybrid environments.
• Strong understanding of DevOps practices, CI/CD automation, Git-based development workflows, Jenkins, Maven, and Azure DevOps.
• Hands-on experience with API security, OAuth2, JWT, OpenID Connect, TLS, and enterprise security standards.
• Strong understanding of performance optimization, resilience patterns, monitoring, observability, and troubleshooting.

Nice to Have Skills & Experience

• Experience with MuleSoft Runtime Fabric, Kubernetes, Docker, and container orchestration platforms.
• Expertise in microservices architecture and application development using Spring Boot and Java.
• Experience implementing integration solutions using frameworks such as Apache Camel.
• Familiarity with event-driven architectures, messaging systems, and platforms such as IBM MQ, RabbitMQ, Kafka, and Google Pub/Sub.
• Strong understanding of cloud-native architecture and integration strategies across AWS, Azure, and GCP.
• Experience establishing enterprise API governance, developer portals, API product management, and reusable integration assets.
• Exposure to leveraging AIOps capabilities for proactive monitoring, predictive analytics, and operational excellence.
• Knowledge of AI and ML integration capabilities and deployment patterns within enterprise ecosystems.
• Strong stakeholder management and technical leadership capabilities.

Job Description

Lead Mulesoft Developer to eventually lead 5-6 people on team.

Pay Rate: Up to $16.00 an hour depending on skills and experience