VP, Core Engineering & AI Platforms

Goldman Sachs Bank AG; Dallas (TX); On-site; USD 220,000 - 300,000; Full time

Job summary

Goldman Sachs' Core Engineering team in Dallas seeks a Vice President software engineer to build and operate platforms, data solutions, models, and analytics powering Risk, Controls, and reporting. You will collaborate with global sponsors and engineers to deliver end-to-end solutions using Java, Python, PySpark, SQL, and cloud tech.

Responsibilities include designing, implementing, testing, deploying and maintaining software across products, applying AI-assisted tools to raise productivity

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• 5+ years of professional software development experience.
• Expertise in Java and/or Python development.
• Experience in automated testing and SDLC concepts.
• Strong communication skills to express ideas clearly in meetings and on paper.

Responsibilities

• Deliver end-to-end software solutions across platforms, data solutions, models, and analytics for The Core functions.
• Design, implement, test, deploy, and maintain software across products.
• Leverage AI-assisted tools to improve productivity, code quality, and delivery speed.
• Collaborate with sponsors and engineers globally to drive architecture and standards.
• Apply AI reasoning to rapid prototyping and production‑grade outputs.

Skills

Java

Python

PySpark

SQL

Hadoop

Snowflake

Kafka

Kubernetes

Education

Bachelor's degree in Computer Science or Computer Engineering

Master's degree in Computer Science or related field

Tools

GitHub Copilot

Job description

Goldman Sachs' Core Engineering team in Dallas seeks a Vice President software engineer to build and operate platforms, data solutions, models, and analytics powering Risk, Controls, and reporting. You will collaborate with global sponsors and engineers to deliver end-to-end solutions using Java, Python, PySpark, SQL, and cloud tech.

Responsibilities include designing, implementing, testing, deploying and maintaining software across products, applying AI-assisted tools to raise productivity