Overview
Seeking a Senior MuleSoft Engineer to support a large scale digital marketing platform initiative. This role will focus on designing, developing, and modernizing enterprise integration solutions using the MuleSoft Anypoint Platform and CloudHub 2.0. The engineer will play a key role in advancing microservices based integrations, intelligent workflow orchestration, and scalable API led connectivity to improve system performance, automation, and reliability.
Responsibilities
- Collaborate with cross functional teams to gather integration requirements and translate business needs into scalable API led connectivity architectures.
- Design, develop, and implement MuleSoft solutions using Anypoint Studio, API Manager, Exchange, Runtime Manager, and Anypoint Code Builder with a focus on scalability, maintainability, security, and performance.
- Architect and deploy applications on CloudHub 2.0 utilizing container based runtime capabilities, deployment strategies, observability features, and continuous integration and delivery pipelines.
- Develop workflows using MuleSoft Dev Agent or Claude Code within the MuleSoft ecosystem.
- Lead efforts to refactor legacy monolithic systems into microservices based and event driven architectures using distributed integration patterns and asynchronous messaging technologies such as Anypoint MQ and Kafka.
- Lead migration initiatives from CloudHub 1.0 to CloudHub 2.0.
Design and implement intelligent agent driven workflows using MuleSoft Agent Fabric and integrate Salesforce Agentforce on the Einstein 1 Platform to enable artificial intelligence driven automation and cross system decision making. - Create secure and reusable REST based APIs and implement API level security using OAuth2, JSON Web Tokens, and policy enforcement.
- Design comprehensive error handling, resiliency strategies, and fault tolerant integration patterns.
- Develop automated testing routines and perform unit, system, and functional testing to ensure reliability and data accuracy.
- Troubleshoot complex distributed integration issues and implement scalable solutions.
- Optimize integration processes for performance, reliability, scalability, and cost efficiency.
- Collaborate with quality assurance and DevOps teams to define and execute automated testing strategies and continuous integration and delivery workflows.
- Stay current with MuleSoft, Salesforce artificial intelligence, and enterprise integration best practices.
- Participate in on call support and provide technical leadership during production incidents.
Required Qualifications
- Bachelor degree in Computer Science, Information Technology, or a related field or equivalent professional experience.
- 8+ years of enterprise integration and distributed systems experience with at least 5 years of hands on MuleSoft Anypoint Platform experience.
- Strong experience designing enterprise grade integration architectures using MuleSoft.
- Hands on experience with CloudHub 2.0 architecture and deployment models.
- Experience building intelligent agent driven workflows using
- MuleSoft Agent Fabric and Salesforce Agentforce on the Einstein 1 Platform.
- Demonstrated experience modernizing legacy monolithic systems into microservices based architectures.
- Strong understanding of API led connectivity, distributed systems design, event driven architecture, and asynchronous messaging patterns.
- Proficiency designing and scaling RESTful APIs.
- Solid understanding of API security, integration patterns, and data transformation techniques.
- Experience with Python or Golang and MuleSoft DataWeave.
- Ability to work with JSON, XML, and CSV data formats.
- Experience with Mule 3 to Mule 4 migration is preferred.
- Excellent problem solving, communication, and collaboration skills.
- MuleSoft certification is a plus.