VP, AI‑Driven Compliance & Surveillance Engineering

Goldman Sachs; Dallas (WV); On-site; USD 120,000 - 180,000; Full time

Job summary

Goldman Sachs is seeking a software engineer to join its AI‑assisted engineering & productivity initiative. You will partner with sponsors, users and engineering colleagues across divisions to build end‑to‑end solutions using Java, Python, PySpark, SQL, Hadoop, Snowflake, Kafka, Kubernetes.

The role emphasizes automated testing, SDLC concepts, and the use of AI tooling to accelerate code generation, testing and deployment. You’ll work on scalable data platforms and ensure security and compliance.

Qualifications

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

Responsibilities

• Partner globally with sponsors, users and engineering colleagues across divisions to create end-to-end solutions.
• Learn from experts and leverage technologies across teams including Java, Python, PySpark, SQL, Hadoop, Snowflake, Iceberg, Kafka, Kubernetes.
• Apply analytical and functional skills to design surveillance processes to identify risks.
• Involve in full software life cycle: define, design, implement, test, deploy, and maintain software.

Skills

Java

Python

Automated testing

SDLC concepts

Communication skills

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

GitHub Copilot

Claude Code

Devin

Kubernetes

Snowflake

Apache Spark

Hadoop

Job description

Goldman Sachs is seeking a software engineer to join its AI‑assisted engineering & productivity initiative. You will partner with sponsors, users and engineering colleagues across divisions to build end‑to‑end solutions using Java, Python, PySpark, SQL, Hadoop, Snowflake, Kafka, Kubernetes.

The role emphasizes automated testing, SDLC concepts, and the use of AI tooling to accelerate code generation, testing and deployment. You’ll work on scalable data platforms and ensure security and compliance.