Integration Engineer II- AI & Engineering
Deloitte · Minneapolis, MN · 2 wk ago
HybridEngineeringFull-time
Key Responsibilities
- Integration Design & Architecture: Design complex integration solutions following industry best practices and leveraging various integration design patterns (e.g., publish/subscribe, request/reply, aggregator).
- Develop and implement solutions that adhere to established enterprise architecture frameworks.
- API Management: Design, build, and manage APIs using API Management capabilities, ensuring secure and efficient communication between systems (REST/SOAP).
- EDI Implementation & Management: Implement and manage Electronic Data Interchange (EDI) processes, including configuration of trading partners, profiles, and standards (ANSI X12, EDIFACT).
- Development & Deployment: Develop, test, and deploy integration processes across environments (Test, UAT, Production), managing the full software development lifecycle (SDLC).
- Troubleshooting and Support: Monitor integration performance, proactively identify and resolve issues, and provide expert-level post-deployment support.
- Documentation: Create and maintain comprehensive technical documentation for designs, configurations, data mapping, and architectural decisions.
- Collaboration & Best Practices: Work closely with cross-functional teams to optimize data flows and adhere to industry best practices in integration development.
- Accountability: Take ownership of assigned integration projects, manage expectations, and guide junior team members toward successful project delivery.
- AI & Agentic Integration: Utilize AI features (e.g., MuleSoft Vibes) to accelerate development, automate documentation, and troubleshoot issues.
Required Qualifications
- Bachelor's degree in computer science, software engineering, information technology or a related field.
- 4+ years of hands-on experience with various Integration tools which should include MuleSoft.
- Experience should also include experience working on at least one of these - Tibco, Workato, WebSphere - in a commercial setting (not in school).
- 4+ years of experience in the design and development of enterprise services using RAML in Mule, REST based APIs, SOAP Web Services and use of different Mule connectors.
- Should have MuleSoft Anypoint studio experience - hands-on designing and related Mule components (Mule ESB, ETLs, flows, Dataweave, Filtering, exception handling).
- Previous experience working in a consulting firm environment or within a relevant industry sector (e.g. retail, healthcare, manufacturing, financial services, etc.).
- Experience with Java, middleware, Mule ESB, strong knowledge of SOA and experience in designing Mule interfaces.
- Fluency with Web Services Standards such as XML, SOAP, REST, strong understanding of RDBMS.
- Must have experience with Mule ESB, SOA, Json, XDS, XML. Experience in continuous integration and continuous deployment using Maven, Jenkins, BitBucket, GIT, and MuleSoft with familiarity with DevOps principles.
- Experience building MUnit test cases
- Current MuleSoft certifications and certifications with other Integration tools.
- Experience working in an Agile environment.
- Strong understanding of enterprise integration design patterns, API protocols (REST/SOAP), XML, JSON, and data mapping.
- Experience with EDI standards (ANSI X12, EDIFACT) and implementing EDI solutions, including understanding of common documents (810, 850, 856, etc.).
- Experience with rational databases and strong SQL skills.
- Strong understanding of the SDLC methodologies.
- One certification in a cloud technology platform such as AWS, GCP or Azure.
- Proficiency in at least one programming language - Spring Boot, JavaScript or Python.
- Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.
- Preferred Exposure to and understanding of enterprise architecture frameworks (e.g. TOGAF)
- Experience integrating specific enterprise systems such as Salesforce, SAP, Oracle, HCM, Workday, etc.
- Familiarity with cloud technologies and architectures (AWS, Azure, GCP).