Senior Software Engineer, Global Banking & Markets, Front Office Technology

Goldman Sachs

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Work type
On-site
Location
Dallas, TX
Posted
121 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Similar $187k
$121k $238k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $151,000–$222,125.

Based on 240 similar postings.

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About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 71 open roles on FindRole.

Listed pay typically runs $140,000–$250,000 across 34 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Global Banking & Markets, Front Office Technology

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As a Senior Software Engineer in the Global Banking & Markets, Front Office Technology team, you will design and implement robust, low-latency systems essential for pricing, quoting, and hedging various financial instruments like Swaps, MBS, and USTs. Your daily work involves developing innovative platforms to facilitate efficient risk and P&L management for trading desks while leveraging AI-driven analytics for sophisticated data analysis and predictive pricing strategies. You will utilize modern programming languages including Java, C/C++, and Python to build high availability, mission-critical systems. Technical requirements include proficiency in algorithms, data structures, and software design, with preferred experience in AWS, microservice architectures, Terraform, and UNIX operating systems. You will solve complex engineering problems by integrating distributed tracing, performance testing, and authentication within a fast-paced financial services environment.

What does a Software Engineer earn in Texas?

Median $178175 from 187 postings across 44 companies.

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Skills

Java C++ Python AWS Terraform SOA UNIX Distributed Tracing Performance Testing Machine Learning AI Infrastructure as Code Networking Data Structures Algorithms

What you'll do

  • Design and implement robust, low-latency systems for pricing, quoting, and hedging financial instruments.
  • Develop innovative platforms to enable efficient risk and P&L management for trading desks.
  • Leverage AI-driven analytics for sophisticated data analysis and predictive pricing strategies.
  • Build massively scalable software and systems to solve challenging engineering problems.
  • Architect low-latency infrastructure solutions to support high-speed financial operations.
  • Engineer solutions using microservice architectures, distributed tracing, and performance testing.
  • Implement infrastructure as code and manage UNIX operating systems and networking.

What we're looking for

  • Advanced degree in Computer Science or equivalent work experience.
  • Minimum 5 years of professional experience using Java, C/C++, or Python.
  • Strong analytical skills with the ability to quickly identify the scope and impact of issues.
  • Team-oriented mindset with strong interpersonal and communication skills.
  • Experience in Financial Services or Fintech (preferred).
  • Proven ability to lead engineering teams and deliver complex products with multiple stakeholders (preferred).
  • Experience with AWS, high availability systems, microservice architectures, and infrastructure as code (preferred).
  • Proficiency with algorithms, data structures, and software design (preferred).

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