Vice President Software Engineering

Goldman Sachs

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Quick summary

Work type
On-site
Location
Dallas, TX
Posted
2 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $204k
$127k most similar roles pay here $291k

This listing doesn't post a salary. Most similar roles pay $177,737–$231,000.

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 91 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 37 roles with salary data.

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At a glance

TL;DR · Vice President Software Engineering

The Core Engineering-L2-Dallas-Vice President-Software Engineering joins the Controllers Engineering team to lead, mentor, and scale a high performing team of over ten engineers. This role focuses on designing and implementing solutions to manage profit and loss, monitor capital and liquidity metrics, and fulfill regulatory obligations. The individual will develop technical designs, testing strategies, and implementation plans while managing the modernization of the Data Reconciliation Platform into an AI-powered, cloud-native system for high-volume data consistency. Key responsibilities include overseeing complex cloud migrations and building relationships with business partners to define requirements. The role requires expertise in Java, Python, RESTful services, Maven/Gradle, Apache Spark, BigData, ReactJs/NextJs, Gitlab, and Kubernetes/Terraform. Additionally, the candidate must possess experience with AWS solutions, AI platforms, LLMs, prompt engineering, and managing legacy system transformations within a fast-paced financial environment.

What you'll do

  • Lead, mentor, and scale a high-performing team of over 10 engineers.
  • Design and implement solutions for managing profit and loss, capital metrics, and regulatory obligations.
  • Develop platforms, calculation engines, and analytical tools for risk management and deal-making teams.
  • Modernize the Data Reconciliation Platform into an AI-powered, cloud-native system.
  • Create high-level technical designs, testing strategies, and implementation plans.
  • Lead complex migrations of legacy systems to cloud-native architectures.
  • Implement AI-powered automations and prompt engineering concepts for data validation and exception handling.
  • Translate business needs into technical specifications, process workflows, and data requirements.

What we're looking for

  • Bachelor’s or Master’s degree in Computer Science or a related technical discipline.
  • 8+ years of hands-on software engineering experience.
  • Proven leadership experience managing and mentoring junior engineers.
  • Experience leading complex cloud migration transformations for legacy systems.
  • Familiarity with LLMs, AI-powered automations, and prompt engineering concepts.
  • Proficiency in AWS, Java, Python, RESTful services, Apache Spark, and BigData.
  • Proficiency in ReactJs/NextJs, Maven/Gradle, Gitlab, Kubernetes, and Terraform.
  • Ability to develop technical designs, testing strategies, and implementation plans for business requirements.

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