Duties:
Structured Finance & Lending (SFL) Engineering Team within Global Markets Division (GMD) 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 GS 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 GMD to deliver solutions using latest technology stack while learning finance.
Responsibilities:
Design and implement large-scale backend infrastructure and APIs.
Write high quality code that is robust, readable and scales.
Possess the drive to dive deep, thrive and progress even in ambiguous situations.
Encourage and support knowledge sharing within team and external groups.
Work in an agile environment focused on the most important deliverable for our clients.
Required Qualifications:
5+ years of hands-on experience in Python
3+ years in NoSQL databases like MongoDB or ElasticSearch
3+ years in Caching technologies like Redis or Memcached
3+ years in Streaming technologies like Kafka or RabbitMQ
Experience in architecting and building applications in AWS or Google Cloud
Strong Computer Science fundamentals in Data Structures, Algorithms, Complexity Analysis, Object-Oriented Design and Designing Large Scale Data-Intensive Applications.
Excellent Analytical and Communication skills including experience speaking to technical and business audiences and working globally.
Preferred Qualifications:
Experience in Java, Django, Tornado or Flask frameworks.
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)
Education:
Bachelor’s Degree in Computer Science or related field with 5+ years of work experience, or Masters’ Degree with more than 3+ year work experience in Software Development.
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