Jobs · Engineering · Connecticut

Integration Engineer II- AI & Engineering

Deloitte · Stamford, CT · 2 wk ago
HybridEngineeringFull-time

Work You'll Do

As Integration Engineer II you will have hands-on integration development skills to develop solutions streamlining business processes working with internal teams, near-shore, off-shore technologists and vendor relationships. You will be part of API management strategies to enable seamless communication between applications. You will work across geographies with accountability for the success, effectiveness and delivery of multiple work streams, managing a large, dispersed technology team.

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.

Qualifications

  • Required:
    • 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).

Sponsorship

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

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