Compliance Engineering, Software Engineer, Associate, Dallas
Job in
Dallas, Dallas County, Texas, 75215, USA
Listed on 2026-08-22
Listing for:
Goldman Sachs
Full Time
position Listed on 2026-08-22
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Testing, Software Engineer, Python
Job Description & How to Apply Below
- partner globally with sponsors, users and engineering colleagues across multiple divisions to create end-to-end solutions,
- learn from experts
- leverage various technologies depending on the team including Java, Python, PySpark, SQL, Hadoop, Snowflake, Iceberg, Kafka, Kubernetes
- apply analytical and functional skills to design surveillance processes to identify risks
- be able to innovate and incubate new ideas
- have an opportunity to 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 life cycle; defining, designing, implementing, testing, deploying, and maintaining software across our products.
- Effectively use AI‑assisted 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, 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 product ionize 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.
Job Description
JOB DESCRIPTION
How 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 experts
- leverage various technologies depending on the team including Java, Python, PySpark, SQL, Hadoop, Snowflake, Iceberg, Kafka, Kubernetes
- apply analytical and functional skills to design surveillance processes to identify risks
- be able to innovate and incubate new ideas
- have an opportunity to 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 life cycle; defining, designing, implementing, testing, deploying, and maintaining software across our products.
In Addition, You Will
- Effectively use AI‑assisted 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, 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 product ionize 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.
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.
- 3+ 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.
- 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 critically evaluate AI-generated outputs and refine them to meet production-grade standards of quality, reliability, and maintainability.
- Hands-on proficiency with AI…
Position Requirements
10+ Years
work experience
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