Mulesoft Developer

Accenture•St. Louis, MO

1d•$54,400 - $196,000•Hybrid

About The Position

Accenture's North America MuleSoft practice is one of the largest and most experienced networks of MuleSoft professionals globally. We assist leading organizations in modernizing their businesses through APIs, integration, automation, and emerging AI technologies. Our teams engage in complex and innovative integration initiatives across various industries, helping clients leverage their applications, data, and digital platforms. We design scalable, secure, reusable, and governed solutions, ranging from traditional enterprise integration to AI-powered and agentic architectures. We believe that robust integration is fundamental to exceptional digital experiences. As data becomes increasingly vital for analytics, automation, AI, and business operations, organizations require dependable methods to connect systems, applications, and people. Our MuleSoft professionals are instrumental in helping clients establish these foundations. If you are passionate about integration, APIs, AI, and solving intricate business challenges, you will find opportunities to work with premier clients, collaborate with seasoned practitioners, acquire in-demand skills, and contribute to the evolution of enterprise connectivity. Join us to build a career at the nexus of integration, data, and AI.

Requirements

Minimum of 3 years experience of hands-on software development, development lifecycle practices, Java fundamentals, and object-oriented concepts
Minimum of 2 years experience developing SOAP or REST services/APIs including XML, JSON, YAML, and web services.
Minimum of 2 years experience of Git, Agile delivery, unit testing, logging, exception handling, debugging, and troubleshooting API or integration issues.
Minimum of 1 year experience of professional hands-on MuleSoft development with Anypoint Platform, Anypoint Studio, Mule Runtime, DataWeave, REST APIs, MuleSoft connectors, flows, and integration components.
MuleSoft Certified Developer Level 1 certification, or the ability to obtain it within 90 days of hire.
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Nice To Haves

Current MuleSoft Certified Developer Level 2 certification
Experience working with Anypoint MQ, API Manager, Anypoint Exchange, and CloudHub deployments.
Experience integrating Salesforce, SAP, Workday, Oracle Cloud Applications, ServiceNow, or similar enterprise platforms.
Experience with SOAP services, legacy integrations, enterprise integration patterns, CI/CD automation, AWS, Azure, containers, or cloud-native technologies.
Exposure to Flex Gateway, API governance, Model Context Protocol architectures, agentic integration, or GenAI-assisted development, testing, and documentation.
Experience with Model Context Protocol (MCP), agentic integration patterns, and GenAI-assisted API development, testing, documentation, or code generation.
Experience with enterprise application implementations, distributed delivery teams, HL7 or FHIR, or integration platforms such as Boomi, Informatica, SnapLogic, or Workato.
Strong written and verbal communication, analytical problem-solving skills, and the ability to manage multiple priorities and deliver assignments on schedule.

Responsibilities

Develop, test, deploy, maintain, and support MuleSoft APIs and integrations based on technical designs, user stories, and acceptance criteria.
Build integration solutions using Anypoint Platform, Anypoint Studio, Mule Runtime, DataWeave, connectors, flows, and reusable components.
Develop and maintain MUnit tests; support integration testing, user acceptance testing, defect resolution, troubleshooting, and debugging.
Follow established development standards, coding conventions, documentation requirements, and API-led connectivity practices.
Support releases across development, test, and production environments; monitor logs and assist with incidents and root cause analysis.
Participate in peer reviews, Agile ceremonies, knowledge transfer, and learning activities with onshore and offshore team members.
Use AI and GenAI tools responsibly to support productivity, documentation, and development, while validating technical accuracy.