Compliance, Surveillance & Models-Software Engineering, Vice President, Dallas

About the role

Partner globally with sponsors, users, and engineering colleagues across multiple divisions to create end-to-end solutions. Learn from experts and leverage various technologies depending on the team, including Java, Python, PySpark, SQL, Hadoop, Snowflake, Iceberg, Kafka, and Kubernetes.

Apply analytical and functional skills to design surveillance processes that identify risks, innovate and incubate new ideas, and work on a broad range of problems—often dealing with large data sets, including real-time processing, messaging, workflow, and UI/UX.

Be involved in the full software development life cycle: defining, designing, implementing, testing, deploying, and maintaining software across products.

AI-Assisted Engineering & Productivity

Effectively use AI-assisted software development tools (e.g., GitHub Copilot, Devin, Claude Code, or equivalent) to improve developer productivity and reduce development cycle time. Apply AI tools to accelerate:

• Code generation and refactoring
• Test creation and coverage improvement
• Debugging, root-cause analysis, and performance optimization

Use AI-assisted reasoning to understand complex codebases, rapidly prototype solutions, and improve code quality while maintaining strong engineering standards. Partner with peers and reviewers to validate, harden, and productionize AI-generated outputs, ensuring correctness, security, maintainability, and regulatory compliance.

Identify opportunities where AI tooling can reduce manual effort, minimize rework, and support faster, higher-quality delivery to production.

Responsibilities

• Demonstrate hands-on proficiency with AI coding assistants such as GitHub Copilot, Claude Code, and Devin to expedite code authoring, refactoring, and debugging across all phases of the Software Development Life Cycle (SDLC).
• Effectively utilize AI pair-programming tools to generate boilerplate code, unit tests, and technical documentation, enabling greater focus on architectural design and complex problem-solving.
• Apply established prompt engineering best practices to elicit high-quality, context-aware code recommendations and reduce iteration cycles during development.
• Practically integrate autonomous AI agents (e.g., Devin) for routine engineering tasks, including bug triage, dependency upgrades, and minor feature implementations, freeing engineering bandwidth for higher-impact initiatives.
• Adopt AI-driven code review tools to proactively identify defects, security vulnerabilities, and performance bottlenecks earlier in the development cycle, strengthening overall quality gates.

Requirements

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

Qualifications

Experience in some of the following is desired and can set you apart from other candidates:

• Demonstrated experience or a strong interest in leveraging AI-assisted developer tools to enhance engineering productivity and accelerate software delivery.
• Ability to critically evaluate AI-generated outputs and enhance them to production-grade quality.
• Proven ability to refine AI-generated outputs to meet production-grade standards of quality, reliability, and maintainability.
• API design and microservices architecture to create interconnected services.
• Cloud-based data platforms, such as Snowflake.
• Apache Spark and/or Hadoop.
• Data Lake or Lakehouse solutions.
• Relational databases.
• Knowledge of the financial industry and compliance or risk functions.
• Influencing and collaborating with stakeholders.

About the company

At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders, and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We’re committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness, and personal finance offerings and mindfulness programs.