Global Markets Division (GMD): Structured Finance & Lending (SFL) Engineering: Senior Software
Engineer (Vice President)
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), AssetBacked 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
Design and implement large-scale backend infrastructure and APIs.
Write high quality code that is robust, readable and scales.
Recruit and develop engineers on the team, helping them advance in their careers.
Scope and lead large technical projects with impact to our clients.
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.
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.
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.
7+ years of hands-on experience in Python or Java
4+ 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
3+ years of experience in managing Software Engineers.
Experience in 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 Container technologies like Docker, Kubernetes
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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