Job Description


Job Overview

  • Job ID:

    J37935

  • Job Title:

    Mule soft Architect

  • Location:

    San Francisco, CA

  • Duration:

    12 Months + Extension

  • Hourly Rate:

    Depending on Experience (DOE)

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

Job Description

Title:-MuleSoft Lead/Architect

Location:- Bay Area || Carrollton, TX || Salisbury, NC || SFO, CA || San Antonio, TX || Bethpage, NY ||Louisville, KY || Chester Brook, PA

Type:-Contract and Full time

JD:-

  • 10 + Years of overall IT experience with strong Java, J2EE, Spring, JMS, Design Patterns, Web services and building integration projects using Middleware Integration Tools.
  • Design/Architect technical solutions for enterprise systems using middleware integration tool MuleSoft or Open Source
  • Define standards and guidelines around Scalability, Security, Logging, Auditing, Policy Management and Performance Monitoring and KPI for end-to-end process execution.
  • Experience with SOA Design patterns for building middleware systems using Mule API, Message Routing, Content Enrichment, Message Filtering, Message Transformation, Guaranteed delivery, Message sequencing, Batch message processing, error handling and reconciliation mechanisms.
  • Excellent understanding of Service Oriented Architecture, Enterprise Application Integration using any middleware integration tools.
  • Experience with using CI/CD tools such as GitHub, Maven, Jenkins etc.
  • Good to have experience with Cloud technologies such as AWS, Azure, PCF etc
  • Good to have MuleSoft experience
  • Excellent communication Skills

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Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract