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    Backend Engineer - Dallas, United States - LanceSoft

    LanceSoft
    LanceSoft Dallas, United States

    4 weeks ago

    Default job background
    Description
    Duties


    Our focus has been to create Structured Lending Platform as part of the Client Marquee strategy which covers a wide spectrum of asset classes such as Loans, Repurchase Agreements (Repos), Asset-Backed Securities and Derivatives.

    This role offers a unique opportunity to work with the Structured Lending businesses and Strats in GBM to deliver solutions using latest technology stack while learning finance

    Job Responsibilities / Typical Day In The Role

    Provide world class quality of service to end users throughout the resolution process
    Support multiple large-scale applications
    Deep dive into the code and provide robust fixes to the support issues
    Encourage and support knowledge sharing within team and external groups
    Work in an agile environment focused on the most important deliverable for our clients
    Engage engineering teams and product owners to assist with troubleshooting as needed.
    Demonstrate excellent ticket hygiene by selecting appropriate product categories, keeping detailed ticket notes, managing ticket backlog, etc.
    Maintain effective documentation by regularly reviewing and updating knowledgebase content.

    Take a proactive approach in analyzing current practices to identify areas for improvement and make suggestions for more efficient and strategic solutions.

    The individual will be splitting time apprx 40-50% coding and the other ad hoc technology support
    The coding work down will be in response to support requests, rather than direct project based development
    Possess the drive to dive deep, thrive and progress even in ambiguous situations

    Skills

    Must Have Skills / Requirements

    5+ years of hands-on experience in Python or Java
    3+ years in SQL or NoSQL databases like MongoDB or ElasticSearch
    Demonstrated experience in support high velocity technical support
    Strong Computer Science fundamentals in Data Structures, Algorithms, Complexity Analysis, Object-Oriented Design and Designing Large Scale Data-Intensive Applications

    Nice to Have Skills / Preferred Requirements

    Experience in Java, python, SQL.
    Experience in ELK Stack (Elasticsearch, Logstash, Kibana) or Prometheus + Grafana
    Proficiency in Linux, Bash, JSON and SQL
    Knowledge of Credit products like corporate bonds/loans, credit default swaps, total return swaps is a plus
    Experience with cloud computing systems
    Networking including TCP, HTTP, DNS, SSL certificates

    #J-18808-Ljbffr
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