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Java Engineer (Machine Learning/Azure Artificial Intelligence)
Ref No.: 18-00737
Location: Rochelle Park, New Jersey
Start Date: 07/05/2018
  • Project Description:
    Our program was started as the migration of the financial instruments trading legacy mainframe system to a new technical, highly-scalable platform. The success of the program in both the migration and creation of a scalable platform led to it being selected as the strategic platform providing full-scale of advisory services for one of the biggest financial institutions in the world. This has led to significant further investment for legacy system migrations and technical improvements. Currently we have teams across several locations (Weehawken, Kiev, Krakow) on those projects. 
    Reengineer set of existing applications and introduce additional application interface layer, allowing to query underlying data from third-party applications.
  • Responsibilities:
    - Write clean code 
    - Cover own code with tests 
    - Participate in backlog refinement, planning and demos 
    - Perform code reviews 
    - Clarify the requirements with stakeholders 
    - Participate in solution architecture design and implementation 
  • Skills:
    Technical Skills required: 

    Main focus: Java 8, APIs: Azure AI (AI Services/Cognitive Services/Machine Learning) 

    Other mandatory: 
    Spring, XML / XSD, SOAP and REST, Maven 

    CI: Jenkins/TeamCity, git, Crucible 

    Other skills: 
    • Hands-on development experience using any of the Azure AI family APIs 
    • Experience developing cloud solutions and micro-services 
    • Ability/desire to take technical leadership when required 
    • Unit-testing experience 
    • Ability to write clean self-describing code 
    • Ability to understand and produce business and functional requirements specification 
    • Strong practice of code reviews 
    • Fluent English 

    Nice to have: 
    • Understanding of financial services and solid experience in development/maintenance of distributed systems 
    • UNIX shell programming 
    • Oracle PL/SQL 
    • Familiarity with AWS infrastructure