The Core Engineering, Surveillance & Models-Software Engineering, Vice President, Dallas
goldman sachs groupDallas, TX
The Core Engineering, Surveillance & Models-Software Engineering, Vice President, Dallas
goldman sachs groupDallas, TX
APPLY NOWyesterday
About the role
The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm's compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm's liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering's 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units: Metrics & Analytics Platforms: responsible for the measurement and management of the firm's risk, capital, and liquidity for The Core functions The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics Financials & Reporting: responsible for facilitating the production of the firm's financials and a wide range of reporting functions Non-Financial Risk & Controls: responsible for non-financial risk and control processes Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology riskHOW YOU WILL FULFILL YOUR POTENTIAL
As a member of our team, you will:partner globally with sponsors, users and engineering colleagues across multiple divisions to create end-to-end solutions, learn from expertsleverage various technologies depending on the team including Java, Python, PySpark, SQL, Hadoop, Snowflake, Iceberg, Kafka, Kubernetesapply analytical and functional skills to design surveillance processes to identify risksbe able to innovate and incubate new ideashave an opportunity to work on a broad range of problems, often dealing with large data sets, including real-time processing, messaging, workflow and UI/UXbe involved in the full life cycle; defining, designing, implementing, testing, deploying, and maintaining software across our products. AIAssisted Engineering & Productivity
In addition, you will: Effectively useAIassisted software development tools(e.g., Git Hub 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, rootcause analysis, and performance optimization. Use AIassisted reasoning to understand complex codebases, rapidly prototype solutions, and improve code quality while maintaining strong engineering standards. Partner with peers and reviewers tovalidate, harden, and productionize AIgenerated 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.
QUALIFICATIONS:
A successful candidate will possess the following attributes: A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a similar field of study.5+ years 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. Experience in some of the following is desired and can set you apart from other candidates: Demonstrated experience or a strong interest in leveragingAI-assisted developer toolsto enhance engineering productivity and accelerate software delivery. Ability to critically evaluateAIgenerated outputsand enhance them to productiongrade quality. Proven ability to critically evaluateAI-generated outputsand refine them to meet production-grade standards of quality, reliability, and maintainability. Hands-on proficiency with AI coding assistants such as Git Hub Copilot, Claude Code, and Devinto expedite code authoring, refactoring, and debugging across all phases of the Software Development Life Cycle(SDLC).Effective utilization of AI pair-programming tools to generate boilerplate code, unit tests, and technical documentation, enabling greater focus on architectural design and complex problem-solving. Application of establishedprompt engineeringbest practices to elicit high-quality, context-aware code recommendations and reduce iteration cycles during development. Practical integration of autonomousAI agents (e.g., Devin)for routine engineering tasks, including bug triage, dependency upgrades, and minor feature implementations, thereby freeing engineering bandwidth for higher-impact initiatives. Adoptionof AI-driven code reviewtools to proactively identify defects, security vulnerabilities, and performance bottlenecks earlier in the development cycle, strengthening overall quality gates. Experience with: API design and micro-services architecture, such as 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 GOLDMAN SACHS
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 a number of 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. Learn more about our culture, benefits, and people at GS.com/careers. We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.htmlThe Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
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JOB OVERVIEW
Experience level
Lead
Location
Dallas, TX
Occupation
Software Developers
Industry
Custom Computer Programming Services
Posted
yesterday
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