VP, Core Engineering & AI-Driven Innovation

SRI Conference; Dallas (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Goldman Sachs Core Engineering builds and operates platforms, data solutions, and analytics powering risk, reporting, and regulatory functions across The Core divisions. The team emphasizes scalable cloud, AI, and machine learning to drive innovation and efficiency.

The role involves partnering with sponsors and users globally, applying Java, Python, and related tech to deliver end-to-end software across multiple business units, ensuring quality and production readiness.

Qualifications

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

Responsibilities

• Partner with sponsors, users, and engineering colleagues across divisions to create end-to-end solutions.
• Learn from experts and apply analytical skills to design surveillance processes.
• Leverage technologies such as Java, Python, PySpark, SQL, Hadoop, Snowflake, Iceberg, Kafka, Kubernetes.
• Innovate and incubate new ideas to address broad data-set problems.
• Define, design, implement, test, deploy, and maintain software across products.

Skills

Java development

Python development

Automated testing

SDLC concepts

AI-assisted tools

Education

Bachelor's or Master's in CS/CE

Tools

Snowflake

Apache Spark

Hadoop

Kubernetes

Relational Databases

API design

Job description

Goldman Sachs Core Engineering builds and operates platforms, data solutions, and analytics powering risk, reporting, and regulatory functions across The Core divisions. The team emphasizes scalable cloud, AI, and machine learning to drive innovation and efficiency.

The role involves partnering with sponsors and users globally, applying Java, Python, and related tech to deliver end-to-end software across multiple business units, ensuring quality and production readiness.