Backend Support Engineer - Dallas, United States - Suncaptech

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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