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    Backend Support Engineer - Dallas, United States - Suncap Technology

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    Description
    Job Description
    • 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
    • Knowledge of Slang/SecDB is a plus (for internal candidates)
    • Structured Finance & Lending (SFL) Engineering Team within Global Banking and Markets is responsible for designing, developing and supporting applications for Structured Lending Businesses and Clients.
    • 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 - Knowledge of Slang/SecDB is a plus (for internal candidates)

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